From 6cdd205b74c6e0d2ece5c3ff7cbfd8388acaaa36 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Thu, 27 Apr 2023 13:39:45 +0000 Subject: [PATCH 01/15] bootstrap cv folder --- egs/commonvoice/README.md | 143 ++++++++++++++++++ egs/commonvoice/bin | 1 + egs/commonvoice/prepare.sh | 109 +++++++++++++ egs/commonvoice/prompts/ch_24k.txt | 1 + egs/commonvoice/prompts/ch_24k.wav | Bin 0 -> 201834 bytes .../prompts/ch_24k_loudness_normalized20.wav | Bin 0 -> 201834 bytes egs/commonvoice/shared | 1 + 7 files changed, 255 insertions(+) create mode 100644 egs/commonvoice/README.md create mode 120000 egs/commonvoice/bin create mode 100755 egs/commonvoice/prepare.sh create mode 100644 egs/commonvoice/prompts/ch_24k.txt create mode 100644 egs/commonvoice/prompts/ch_24k.wav create mode 100644 egs/commonvoice/prompts/ch_24k_loudness_normalized20.wav create mode 120000 egs/commonvoice/shared diff --git a/egs/commonvoice/README.md b/egs/commonvoice/README.md new file mode 100644 index 0000000..79e0384 --- /dev/null +++ b/egs/commonvoice/README.md @@ -0,0 +1,143 @@ +# aishell1 + +## Prepare Dataset +``` +cd egs/aishell1 + +# Those stages are very time-consuming +bash prepare.sh --stage -1 --stop-stage 3 + +## train +Cut statistics: +╒═══════════════════════════╤═══════════╕ +│ Cuts count: │ 120098 │ +├───────────────────────────┼───────────┤ +│ Total duration (hh:mm:ss) │ 150:51:08 │ +├───────────────────────────┼───────────┤ +│ mean │ 4.5 │ +├───────────────────────────┼───────────┤ +│ std │ 1.4 │ +├───────────────────────────┼───────────┤ +│ min │ 1.2 │ +├───────────────────────────┼───────────┤ +│ 25% │ 3.5 │ +├───────────────────────────┼───────────┤ +│ 50% │ 4.3 │ +├───────────────────────────┼───────────┤ +│ 75% │ 5.3 │ +├───────────────────────────┼───────────┤ +│ 99% │ 8.5 │ +├───────────────────────────┼───────────┤ +│ 99.5% │ 9.1 │ +├───────────────────────────┼───────────┤ +│ 99.9% │ 10.5 │ +├───────────────────────────┼───────────┤ +│ max │ 14.5 │ +├───────────────────────────┼───────────┤ +│ Recordings available: │ 120098 │ +├───────────────────────────┼───────────┤ +│ Features available: │ 120098 │ +├───────────────────────────┼───────────┤ +│ Supervisions available: │ 120098 │ +╘═══════════════════════════╧═══════════╛ +SUPERVISION custom fields: +Speech duration statistics: +╒══════════════════════════════╤═══════════╤══════════════════════╕ +│ Total speech duration │ 150:51:08 │ 100.00% of recording │ +├──────────────────────────────┼───────────┼──────────────────────┤ +│ Total speaking time duration │ 150:51:08 │ 100.00% of recording │ +├──────────────────────────────┼───────────┼──────────────────────┤ +│ Total silence duration │ 00:00:00 │ 0.00% of recording │ +╘══════════════════════════════╧═══════════╧══════════════════════╛ + + +## dev +Cut statistics: +╒═══════════════════════════╤══════════╕ +│ Cuts count: │ 400 │ +├───────────────────────────┼──────────┤ +│ Total duration (hh:mm:ss) │ 00:28:37 │ +├───────────────────────────┼──────────┤ +│ mean │ 4.3 │ +├───────────────────────────┼──────────┤ +│ std │ 1.1 │ +├───────────────────────────┼──────────┤ +│ min │ 2.3 │ +├───────────────────────────┼──────────┤ +│ 25% │ 3.5 │ +├───────────────────────────┼──────────┤ +│ 50% │ 4.0 │ +├───────────────────────────┼──────────┤ +│ 75% │ 5.0 │ +├───────────────────────────┼──────────┤ +│ 99% │ 7.4 │ +├───────────────────────────┼──────────┤ +│ 99.5% │ 7.5 │ +├───────────────────────────┼──────────┤ +│ 99.9% │ 8.0 │ +├───────────────────────────┼──────────┤ +│ max │ 8.0 │ +├───────────────────────────┼──────────┤ +│ Recordings available: │ 400 │ +├───────────────────────────┼──────────┤ +│ Features available: │ 400 │ +├───────────────────────────┼──────────┤ +│ Supervisions available: │ 400 │ +╘═══════════════════════════╧══════════╛ +SUPERVISION custom fields: +Speech duration statistics: +╒══════════════════════════════╤══════════╤══════════════════════╕ +│ Total speech duration │ 00:28:37 │ 100.00% of recording │ +├──────────────────────────────┼──────────┼──────────────────────┤ +│ Total speaking time duration │ 00:28:37 │ 100.00% of recording │ +├──────────────────────────────┼──────────┼──────────────────────┤ +│ Total silence duration │ 00:00:00 │ 0.00% of recording │ +╘══════════════════════════════╧══════════╧══════════════════════╛ + + +## test +Cut statistics: +╒═══════════════════════════╤══════════╕ +│ Cuts count: │ 7176 │ +├───────────────────────────┼──────────┤ +│ Total duration (hh:mm:ss) │ 10:01:49 │ +├───────────────────────────┼──────────┤ +│ mean │ 5.0 │ +├───────────────────────────┼──────────┤ +│ std │ 1.6 │ +├───────────────────────────┼──────────┤ +│ min │ 1.9 │ +├───────────────────────────┼──────────┤ +│ 25% │ 3.8 │ +├───────────────────────────┼──────────┤ +│ 50% │ 4.7 │ +├───────────────────────────┼──────────┤ +│ 75% │ 5.9 │ +├───────────────────────────┼──────────┤ +│ 99% │ 9.9 │ +├───────────────────────────┼──────────┤ +│ 99.5% │ 10.7 │ +├───────────────────────────┼──────────┤ +│ 99.9% │ 11.9 │ +├───────────────────────────┼──────────┤ +│ max │ 14.7 │ +├───────────────────────────┼──────────┤ +│ Recordings available: │ 7176 │ +├───────────────────────────┼──────────┤ +│ Features available: │ 7176 │ +├───────────────────────────┼──────────┤ +│ Supervisions available: │ 7176 │ +╘═══════════════════════════╧══════════╛ +SUPERVISION custom fields: +Speech duration statistics: +╒══════════════════════════════╤══════════╤══════════════════════╕ +│ Total speech duration │ 10:01:49 │ 100.00% of recording │ +├──────────────────────────────┼──────────┼──────────────────────┤ +│ Total speaking time duration │ 10:01:49 │ 100.00% of recording │ +├──────────────────────────────┼──────────┼──────────────────────┤ +│ Total silence duration │ 00:00:00 │ 0.00% of recording │ +╘══════════════════════════════╧══════════╧══════════════════════╛ +``` + +## Training & Inference +refer to [Training](../../README.md##Training&Inference) diff --git a/egs/commonvoice/bin b/egs/commonvoice/bin new file mode 120000 index 0000000..501d03e --- /dev/null +++ b/egs/commonvoice/bin @@ -0,0 +1 @@ +../../valle/bin \ No newline at end of file diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh new file mode 100755 index 0000000..f4f96ee --- /dev/null +++ b/egs/commonvoice/prepare.sh @@ -0,0 +1,109 @@ +#!/usr/bin/env bash + +set -eou pipefail + +# fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674 +export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python + +nj=16 +stage=-1 +stop_stage=4 + +# We assume dl_dir (download dir) contains the following +# directories and files. If not, they will be downloaded +# by this script automatically. +# +# - $dl_dir/aishell +# You can download aishell from https://www.openslr.org/33/ +# + +dl_dir=$PWD/download + +dataset_parts="-p train -p dev -p test" # debug + +text_extractor="pypinyin_initials_finals" +audio_extractor="Encodec" # or Fbank +audio_feats_dir=data/tokenized + +. shared/parse_options.sh || exit 1 + + +# All files generated by this script are saved in "data". +# You can safely remove "data" and rerun this script to regenerate it. +mkdir -p data + +log() { + # This function is from espnet + local fname=${BASH_SOURCE[1]##*/} + echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*" +} + +if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then + log "dl_dir: $dl_dir" + log "Stage 0: Download data" + + # If you have pre-downloaded it to /path/to/aishell, + # you can create a symlink + # + # ln -sfv /path/to/aishell $dl_dir/aishell + # + if [ ! -d $dl_dir/aishell/dev ]; then + lhotse download aishell $dl_dir + fi +fi + +if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then + log "Stage 1: Prepare aishell manifest" + # We assume that you have downloaded the aishell corpus + # to $dl_dir/aishell + mkdir -p data/manifests + if [ ! -e data/manifests/.aishell.done ]; then + lhotse prepare aishell $dl_dir/aishell data/manifests + touch data/manifests/.aishell.done + fi +fi + + +if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then + log "Stage 2: Tokenize/Fbank aishell" + mkdir -p ${audio_feats_dir} + if [ ! -e ${audio_feats_dir}/.aishell.tokenize.done ]; then + python3 bin/tokenizer.py --dataset-parts "${dataset_parts}" \ + --text-extractor ${text_extractor} \ + --audio-extractor ${audio_extractor} \ + --batch-duration 400 \ + --prefix "aishell" \ + --src-dir "data/manifests" \ + --output-dir "${audio_feats_dir}" + fi + touch ${audio_feats_dir}/.aishell.tokenize.done +fi + +if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then + log "Stage 3: Prepare aishell train/dev/test" + if [ ! -e ${audio_feats_dir}/.aishell.train.done ]; then + # dev 14326 + lhotse subset --first 400 \ + ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ + ${audio_feats_dir}/cuts_dev.jsonl.gz + + lhotse subset --last 13926 \ + ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ + ${audio_feats_dir}/cuts_dev_others.jsonl.gz + + # train + lhotse combine \ + ${audio_feats_dir}/cuts_dev_others.jsonl.gz \ + ${audio_feats_dir}/aishell_cuts_train.jsonl.gz \ + ${audio_feats_dir}/cuts_train.jsonl.gz + + # test + lhotse copy \ + ${audio_feats_dir}/aishell_cuts_test.jsonl.gz \ + ${audio_feats_dir}/cuts_test.jsonl.gz + + touch ${audio_feats_dir}/.aishell.train.done + fi +fi + +python3 ./bin/display_manifest_statistics.py --manifest-dir ${audio_feats_dir} diff --git a/egs/commonvoice/prompts/ch_24k.txt b/egs/commonvoice/prompts/ch_24k.txt new file mode 100644 index 0000000..4d2fbbb --- /dev/null +++ b/egs/commonvoice/prompts/ch_24k.txt @@ -0,0 +1 @@ +甚至 出现 交易 几乎 停滞 的 情况 diff --git 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z)@BR&J!eOoP(F1Gva~Y~y~siM@L4LBxMdT1gLsQ($fU%CQJ0~XBz!VMFQP`pxF5#2R@)NNnUb3xRWU2bH`B@_cTImalhz!W iSP{1`v*Bpdk(unO1rf(6W-v8HT9>sxt1&Vj)BgcgvRTXk literal 0 HcmV?d00001 diff --git a/egs/commonvoice/shared b/egs/commonvoice/shared new file mode 120000 index 0000000..71e59eb --- /dev/null +++ b/egs/commonvoice/shared @@ -0,0 +1 @@ +../libritts/shared/ \ No newline at end of file From a0e95f52bad31f8f72c8fc5e3822ccb6e97d9ceb Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Thu, 27 Apr 2023 16:02:57 +0200 Subject: [PATCH 02/15] Download and Manifest Generation for CV --- egs/commonvoice/prepare.sh | 106 +++++++++++++++++++------------------ 1 file changed, 54 insertions(+), 52 deletions(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index f4f96ee..b9f63a2 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -18,6 +18,8 @@ stop_stage=4 # dl_dir=$PWD/download +release=cv-corpus-13.0-2023-03-09 +lang=all dataset_parts="-p train -p dev -p test" # debug @@ -42,68 +44,68 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then log "dl_dir: $dl_dir" log "Stage 0: Download data" - # If you have pre-downloaded it to /path/to/aishell, + # If you have pre-downloaded it to /path/to/commonvoice, # you can create a symlink # # ln -sfv /path/to/aishell $dl_dir/aishell # - if [ ! -d $dl_dir/aishell/dev ]; then - lhotse download aishell $dl_dir + if [ ! -d $dl_dir/$release/$lang/clips ]; then + lhotse download commonvoice --languages $lang --release $release $dl_dir fi fi if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then - log "Stage 1: Prepare aishell manifest" - # We assume that you have downloaded the aishell corpus - # to $dl_dir/aishell + log "Stage 1: Prepare commonvoice manifest" + # We assume that you have downloaded the commonvoice corpus + # to $dl_dir/commonvoice mkdir -p data/manifests - if [ ! -e data/manifests/.aishell.done ]; then - lhotse prepare aishell $dl_dir/aishell data/manifests - touch data/manifests/.aishell.done + if [ ! -e data/manifests/.commonvoice.done ]; then + lhotse prepare commonvoice -j $nj $dl_dir/$release data/manifests + touch data/manifests/.commonvoice.done fi fi -if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then - log "Stage 2: Tokenize/Fbank aishell" - mkdir -p ${audio_feats_dir} - if [ ! -e ${audio_feats_dir}/.aishell.tokenize.done ]; then - python3 bin/tokenizer.py --dataset-parts "${dataset_parts}" \ - --text-extractor ${text_extractor} \ - --audio-extractor ${audio_extractor} \ - --batch-duration 400 \ - --prefix "aishell" \ - --src-dir "data/manifests" \ - --output-dir "${audio_feats_dir}" - fi - touch ${audio_feats_dir}/.aishell.tokenize.done -fi - -if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then - log "Stage 3: Prepare aishell train/dev/test" - if [ ! -e ${audio_feats_dir}/.aishell.train.done ]; then - # dev 14326 - lhotse subset --first 400 \ - ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ - ${audio_feats_dir}/cuts_dev.jsonl.gz - - lhotse subset --last 13926 \ - ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ - ${audio_feats_dir}/cuts_dev_others.jsonl.gz - - # train - lhotse combine \ - ${audio_feats_dir}/cuts_dev_others.jsonl.gz \ - ${audio_feats_dir}/aishell_cuts_train.jsonl.gz \ - ${audio_feats_dir}/cuts_train.jsonl.gz - - # test - lhotse copy \ - ${audio_feats_dir}/aishell_cuts_test.jsonl.gz \ - ${audio_feats_dir}/cuts_test.jsonl.gz - - touch ${audio_feats_dir}/.aishell.train.done - fi -fi - -python3 ./bin/display_manifest_statistics.py --manifest-dir ${audio_feats_dir} +#if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then +# log "Stage 2: Tokenize/Fbank aishell" +# mkdir -p ${audio_feats_dir} +# if [ ! -e ${audio_feats_dir}/.aishell.tokenize.done ]; then +# python3 bin/tokenizer.py --dataset-parts "${dataset_parts}" \ +# --text-extractor ${text_extractor} \ +# --audio-extractor ${audio_extractor} \ +# --batch-duration 400 \ +# --prefix "aishell" \ +# --src-dir "data/manifests" \ +# --output-dir "${audio_feats_dir}" +# fi +# touch ${audio_feats_dir}/.aishell.tokenize.done +#fi +# +#if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then +# log "Stage 3: Prepare aishell train/dev/test" +# if [ ! -e ${audio_feats_dir}/.aishell.train.done ]; then +# # dev 14326 +# lhotse subset --first 400 \ +# ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ +# ${audio_feats_dir}/cuts_dev.jsonl.gz +# +# lhotse subset --last 13926 \ +# ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ +# ${audio_feats_dir}/cuts_dev_others.jsonl.gz +# +# # train +# lhotse combine \ +# ${audio_feats_dir}/cuts_dev_others.jsonl.gz \ +# ${audio_feats_dir}/aishell_cuts_train.jsonl.gz \ +# ${audio_feats_dir}/cuts_train.jsonl.gz +# +# # test +# lhotse copy \ +# ${audio_feats_dir}/aishell_cuts_test.jsonl.gz \ +# ${audio_feats_dir}/cuts_test.jsonl.gz +# +# touch ${audio_feats_dir}/.aishell.train.done +# fi +#fi +# +#python3 ./bin/display_manifest_statistics.py --manifest-dir ${audio_feats_dir} From de614d34ce2f0dd9bbc7c237b35fa928b688d561 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 02:27:35 +0200 Subject: [PATCH 03/15] add japanese language --- egs/commonvoice/prepare.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index b9f63a2..5a4f4c1 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -19,7 +19,7 @@ stop_stage=4 dl_dir=$PWD/download release=cv-corpus-13.0-2023-03-09 -lang=all +lang="en de fr cy tt kab ca zh-TW it fa eu es ru tr nl eo zh-CN rw pt zh-HK cs pl uk jp" dataset_parts="-p train -p dev -p test" # debug From d7d3c78aa17c013973bb02605b202bf48bf1900e Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 02:34:43 +0200 Subject: [PATCH 04/15] add japanese language --- egs/commonvoice/prepare.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 5a4f4c1..5d41dcb 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -19,7 +19,7 @@ stop_stage=4 dl_dir=$PWD/download release=cv-corpus-13.0-2023-03-09 -lang="en de fr cy tt kab ca zh-TW it fa eu es ru tr nl eo zh-CN rw pt zh-HK cs pl uk jp" +lang="en de fr cy tt kab ca zh-TW it fa eu es ru tr nl eo zh-CN rw pt zh-HK cs pl uk ja" dataset_parts="-p train -p dev -p test" # debug From b8164e352f02c54d1caff5045a0ed0afda38fabc Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 02:55:04 +0200 Subject: [PATCH 05/15] full cv prepare script (I hope) --- egs/commonvoice/prepare.sh | 87 +++++++++++++++++++------------------- 1 file changed, 43 insertions(+), 44 deletions(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 5d41dcb..abe2b54 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -60,52 +60,51 @@ if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then # to $dl_dir/commonvoice mkdir -p data/manifests if [ ! -e data/manifests/.commonvoice.done ]; then - lhotse prepare commonvoice -j $nj $dl_dir/$release data/manifests + lhotse prepare commonvoice --languages $lang -j $nj $dl_dir/$release data/manifests touch data/manifests/.commonvoice.done fi fi -#if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then -# log "Stage 2: Tokenize/Fbank aishell" -# mkdir -p ${audio_feats_dir} -# if [ ! -e ${audio_feats_dir}/.aishell.tokenize.done ]; then -# python3 bin/tokenizer.py --dataset-parts "${dataset_parts}" \ -# --text-extractor ${text_extractor} \ -# --audio-extractor ${audio_extractor} \ -# --batch-duration 400 \ -# --prefix "aishell" \ -# --src-dir "data/manifests" \ -# --output-dir "${audio_feats_dir}" -# fi -# touch ${audio_feats_dir}/.aishell.tokenize.done -#fi -# -#if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then -# log "Stage 3: Prepare aishell train/dev/test" -# if [ ! -e ${audio_feats_dir}/.aishell.train.done ]; then -# # dev 14326 -# lhotse subset --first 400 \ -# ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ -# ${audio_feats_dir}/cuts_dev.jsonl.gz -# -# lhotse subset --last 13926 \ -# ${audio_feats_dir}/aishell_cuts_dev.jsonl.gz \ -# ${audio_feats_dir}/cuts_dev_others.jsonl.gz -# -# # train -# lhotse combine \ -# ${audio_feats_dir}/cuts_dev_others.jsonl.gz \ -# ${audio_feats_dir}/aishell_cuts_train.jsonl.gz \ -# ${audio_feats_dir}/cuts_train.jsonl.gz -# -# # test -# lhotse copy \ -# ${audio_feats_dir}/aishell_cuts_test.jsonl.gz \ -# ${audio_feats_dir}/cuts_test.jsonl.gz -# -# touch ${audio_feats_dir}/.aishell.train.done -# fi -#fi -# -#python3 ./bin/display_manifest_statistics.py --manifest-dir ${audio_feats_dir} +if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then + log "Stage 2: Tokenize/Fbank commonvoice" + mkdir -p ${audio_feats_dir} + if [ ! -e ${audio_feats_dir}/.commonvoice.tokenize.done ]; then + python3 bin/tokenizer.py --dataset-parts "${dataset_parts}" \ + --text-extractor ${text_extractor} \ + --audio-extractor ${audio_extractor} \ + --batch-duration 400 \ + --src-dir "data/manifests" \ + --output-dir "${audio_feats_dir}" + fi + touch ${audio_feats_dir}/.commonvoice.tokenize.done +fi + +if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then + log "Stage 3: Prepare commonvoice train/dev/test" + if [ ! -e ${audio_feats_dir}/.commonvoice.train.done ]; then + # dev 14326 + lhotse subset --first 400 \ + ${audio_feats_dir}/commonvoice_cuts_dev.jsonl.gz \ + ${audio_feats_dir}/cuts_dev.jsonl.gz + + lhotse subset --last 13926 \ + ${audio_feats_dir}/commonvoice_cuts_dev.jsonl.gz \ + ${audio_feats_dir}/cuts_dev_others.jsonl.gz + + # train + lhotse combine \ + ${audio_feats_dir}/cuts_dev_others.jsonl.gz \ + ${audio_feats_dir}/commonvoice_cuts_train.jsonl.gz \ + ${audio_feats_dir}/cuts_train.jsonl.gz + + # test + lhotse copy \ + ${audio_feats_dir}/commonvoice_cuts_test.jsonl.gz \ + ${audio_feats_dir}/cuts_test.jsonl.gz + + touch ${audio_feats_dir}/.commonvoice.train.done + fi +fi + +python3 ./bin/display_manifest_statistics.py --manifest-dir ${audio_feats_dir} From a605eb659484ee7ff6cd90dea2761b5f7c246288 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 03:01:53 +0200 Subject: [PATCH 06/15] loop through language list --- egs/commonvoice/prepare.sh | 21 +++++++++++++++------ 1 file changed, 15 insertions(+), 6 deletions(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index abe2b54..045d11c 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -19,7 +19,7 @@ stop_stage=4 dl_dir=$PWD/download release=cv-corpus-13.0-2023-03-09 -lang="en de fr cy tt kab ca zh-TW it fa eu es ru tr nl eo zh-CN rw pt zh-HK cs pl uk ja" +languages="en de fr cy tt kab ca zh-TW it fa eu es ru tr nl eo zh-CN rw pt zh-HK cs pl uk ja" dataset_parts="-p train -p dev -p test" # debug @@ -47,11 +47,14 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then # If you have pre-downloaded it to /path/to/commonvoice, # you can create a symlink # - # ln -sfv /path/to/aishell $dl_dir/aishell + # ln -sfv /path/to/commonvoice $dl_dir/commonvoice # - if [ ! -d $dl_dir/$release/$lang/clips ]; then - lhotse download commonvoice --languages $lang --release $release $dl_dir - fi + for lang in $languages + do + if [ ! -d $dl_dir/$release/$lang/clips ]; then + lhotse download commonvoice --languages $lang --release $release $dl_dir + fi + done fi if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then @@ -60,7 +63,13 @@ if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then # to $dl_dir/commonvoice mkdir -p data/manifests if [ ! -e data/manifests/.commonvoice.done ]; then - lhotse prepare commonvoice --languages $lang -j $nj $dl_dir/$release data/manifests + for lang in $languages + do + if [ ! -e data/manifests/.commonvoice-${lang}.done ]; then + lhotse prepare commonvoice --language $lang -j $nj $dl_dir/$release data/manifests + touch data/manifests/.commonvoice-${lang}.done + fi + done touch data/manifests/.commonvoice.done fi fi From cf21f1ba55b663370279514d69a1fa14840f62d9 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 03:13:46 +0200 Subject: [PATCH 07/15] little more verbose logging. The loop breaks lhotse tqdm for all languages, but not sure how to otherwise check for individual languages downloaded and unpacked already instead rn --- egs/commonvoice/prepare.sh | 1 + 1 file changed, 1 insertion(+) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 045d11c..979be6f 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -51,6 +51,7 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then # for lang in $languages do + log "Checking if language ${lang} has been downloaded..." if [ ! -d $dl_dir/$release/$lang/clips ]; then lhotse download commonvoice --languages $lang --release $release $dl_dir fi From 5feac822d4782501e374907cab93e850ce1746f4 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 21:38:37 +0200 Subject: [PATCH 08/15] rename manifests to match tokenizer pattern --- egs/commonvoice/prepare.sh | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 979be6f..b39aee1 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -21,7 +21,7 @@ dl_dir=$PWD/download release=cv-corpus-13.0-2023-03-09 languages="en de fr cy tt kab ca zh-TW it fa eu es ru tr nl eo zh-CN rw pt zh-HK cs pl uk ja" -dataset_parts="-p train -p dev -p test" # debug +dataset_parts="train dev test" text_extractor="pypinyin_initials_finals" audio_extractor="Encodec" # or Fbank @@ -70,6 +70,12 @@ if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then lhotse prepare commonvoice --language $lang -j $nj $dl_dir/$release data/manifests touch data/manifests/.commonvoice-${lang}.done fi + # Rename to match Tokenizer Pattern + for part in $dataset_parts + do + mv data/manifests/cv-${lang}_recordings_${part}.jsonl.gz data/manifests/commonvoice_recordings_${lang}_${part}.jsonl.gz + mv data/manifests/cv-${lang}_supervisions_${part}.jsonl.gz data/manifests/commonvoice_supervisions_${lang}_${part}.jsonl.gz + done done touch data/manifests/.commonvoice.done fi @@ -84,6 +90,7 @@ if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then --text-extractor ${text_extractor} \ --audio-extractor ${audio_extractor} \ --batch-duration 400 \ + --prefix "commonvoice" \ --src-dir "data/manifests" \ --output-dir "${audio_feats_dir}" fi From 4138586764c7ec510e090f39f8e2af82a5af1538 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 21:53:50 +0200 Subject: [PATCH 09/15] build all parts for all the commonvoice datasets. --- egs/commonvoice/prepare.sh | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index b39aee1..f632d77 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -84,9 +84,21 @@ fi if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then log "Stage 2: Tokenize/Fbank commonvoice" + + # Build all Parts for all the commonvoice datasets + dynamicPartList="" + for lang in $languages + do + for part in $dataset_parts + do + dynamicPartList+="${lang}_${part} " + done + done + echo "${dynamicPartList}" + mkdir -p ${audio_feats_dir} if [ ! -e ${audio_feats_dir}/.commonvoice.tokenize.done ]; then - python3 bin/tokenizer.py --dataset-parts "${dataset_parts}" \ + python3 bin/tokenizer.py --dataset-parts "${dynamicPartList}" \ --text-extractor ${text_extractor} \ --audio-extractor ${audio_extractor} \ --batch-duration 400 \ From a0187f4a77c77af90720ac52247a326aba11f9f3 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Fri, 28 Apr 2023 22:07:18 +0200 Subject: [PATCH 10/15] resampling --- egs/commonvoice/prepare.sh | 2 +- valle/bin/tokenizer.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index f632d77..1be24c4 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -94,7 +94,7 @@ if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then dynamicPartList+="${lang}_${part} " done done - echo "${dynamicPartList}" + # echo "${dynamicPartList}" # debug mkdir -p ${audio_feats_dir} if [ ! -e ${audio_feats_dir}/.commonvoice.tokenize.done ]; then diff --git a/valle/bin/tokenizer.py b/valle/bin/tokenizer.py index 0c88be6..ad0af0b 100644 --- a/valle/bin/tokenizer.py +++ b/valle/bin/tokenizer.py @@ -180,7 +180,7 @@ def main(): f"{args.output_dir}/{args.prefix}_fbank_{partition}" ) - if args.prefix.lower() in ["ljspeech", "aishell", "baker"]: + if args.prefix.lower() in ["ljspeech", "aishell", "baker", "commonvoice"]: cut_set = cut_set.resample(24000) # https://github.com/lifeiteng/vall-e/issues/90 # if args.prefix == "aishell": From 4bdb1cb8dd927f5590a3e657e898a94cbc875748 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Sat, 29 Apr 2023 02:03:46 +0200 Subject: [PATCH 11/15] fix missing tokenization directive for cv --- egs/commonvoice/prepare.sh | 2 -- valle/bin/tokenizer.py | 3 +-- 2 files changed, 1 insertion(+), 4 deletions(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 1be24c4..1b24445 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -23,7 +23,6 @@ languages="en de fr cy tt kab ca zh-TW it fa eu es ru tr nl eo zh-CN rw pt zh-HK dataset_parts="train dev test" -text_extractor="pypinyin_initials_finals" audio_extractor="Encodec" # or Fbank audio_feats_dir=data/tokenized @@ -99,7 +98,6 @@ if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then mkdir -p ${audio_feats_dir} if [ ! -e ${audio_feats_dir}/.commonvoice.tokenize.done ]; then python3 bin/tokenizer.py --dataset-parts "${dynamicPartList}" \ - --text-extractor ${text_extractor} \ --audio-extractor ${audio_extractor} \ --batch-duration 400 \ --prefix "commonvoice" \ diff --git a/valle/bin/tokenizer.py b/valle/bin/tokenizer.py index ad0af0b..f3fa8b2 100644 --- a/valle/bin/tokenizer.py +++ b/valle/bin/tokenizer.py @@ -233,8 +233,7 @@ def main(): text_tokenizer, text=c.supervisions[0].text ) c.supervisions[0].custom = {} - else: - assert args.prefix == "libritts" + else: # libritts, commonvoice phonemes = tokenize_text( text_tokenizer, text=c.supervisions[0].text ) From 768e90c415d289f814ac042471f88163a5f3b683 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Sun, 30 Apr 2023 01:09:37 +0200 Subject: [PATCH 12/15] final combination of train sets --- egs/commonvoice/prepare.sh | 38 +++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 1b24445..55478c8 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -110,25 +110,25 @@ fi if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then log "Stage 3: Prepare commonvoice train/dev/test" if [ ! -e ${audio_feats_dir}/.commonvoice.train.done ]; then - # dev 14326 - lhotse subset --first 400 \ - ${audio_feats_dir}/commonvoice_cuts_dev.jsonl.gz \ - ${audio_feats_dir}/cuts_dev.jsonl.gz - - lhotse subset --last 13926 \ - ${audio_feats_dir}/commonvoice_cuts_dev.jsonl.gz \ - ${audio_feats_dir}/cuts_dev_others.jsonl.gz - - # train - lhotse combine \ - ${audio_feats_dir}/cuts_dev_others.jsonl.gz \ - ${audio_feats_dir}/commonvoice_cuts_train.jsonl.gz \ - ${audio_feats_dir}/cuts_train.jsonl.gz - - # test - lhotse copy \ - ${audio_feats_dir}/commonvoice_cuts_test.jsonl.gz \ - ${audio_feats_dir}/cuts_test.jsonl.gz + + # Build all Parts for all the commonvoice datasets + cutsTrainList="" + cutsDevList="" + cutsTestList="" + for lang in $languages + do + cutsTrainList+="${audio_feats_dir}/commonvoice_cuts_${lang}_train.jsonl.gz " + cutsDevList+="${audio_feats_dir}/commonvoice_cuts_${lang}_dev.jsonl.gz " + cutsTestList+="${audio_feats_dir}/commonvoice_cuts_${lang}_test.jsonl.gz " + done + # echo "${cutsTrainList}" # debug + # echo "${cutsDevList}" # debug + # echo "${cutsTestList}" # debug + + # Combine all datasets + lhotse combine ${cutsTrainList} ${audio_feats_dir}/cuts_train.jsonl.gz + lhotse combine ${cutsDevList} ${audio_feats_dir}/cuts_dev.jsonl.gz + lhotse combine ${cutsTestList} ${audio_feats_dir}/cuts_test.jsonl.gz touch ${audio_feats_dir}/.commonvoice.train.done fi From 0f33607958875c30306eae69351bf29adb077815 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Mon, 1 May 2023 00:16:28 +0200 Subject: [PATCH 13/15] reduce test and dev set size so we can actually compute a validation loss --- egs/commonvoice/prepare.sh | 17 +++++++++++++++-- 1 file changed, 15 insertions(+), 2 deletions(-) diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 55478c8..7f234d6 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -111,6 +111,19 @@ if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then log "Stage 3: Prepare commonvoice train/dev/test" if [ ! -e ${audio_feats_dir}/.commonvoice.train.done ]; then + # Due to sheer size of the dev and train sets for the individual languages + # we need to only take small subsets from each language so we're able to calculate validation loss + for lang in $languages + do + lhotse subset --first 400 \ + ${audio_feats_dir}/commonvoice_cuts_${lang}_dev.jsonl.gz \ + ${audio_feats_dir}/commonvoice_cuts_${lang}_dev_subset.jsonl.gz + + lhotse subset --first 400 \ + ${audio_feats_dir}/commonvoice_cuts_${lang}_test.jsonl.gz \ + ${audio_feats_dir}/commonvoice_cuts_${lang}_test_subset.jsonl.gz + done + # Build all Parts for all the commonvoice datasets cutsTrainList="" cutsDevList="" @@ -118,8 +131,8 @@ if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then for lang in $languages do cutsTrainList+="${audio_feats_dir}/commonvoice_cuts_${lang}_train.jsonl.gz " - cutsDevList+="${audio_feats_dir}/commonvoice_cuts_${lang}_dev.jsonl.gz " - cutsTestList+="${audio_feats_dir}/commonvoice_cuts_${lang}_test.jsonl.gz " + cutsDevList+="${audio_feats_dir}/commonvoice_cuts_${lang}_dev_subset.jsonl.gz " + cutsTestList+="${audio_feats_dir}/commonvoice_cuts_${lang}_test_subset.jsonl.gz " done # echo "${cutsTrainList}" # debug # echo "${cutsDevList}" # debug From 9e0b4174c4dfd76b33e6bb7ad8c805b83abae90b Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Mon, 1 May 2023 18:35:51 +0200 Subject: [PATCH 14/15] Updated Dataset statistics in Readme.md --- egs/commonvoice/README.md | 156 ++++++++++++++++++++------------------ 1 file changed, 81 insertions(+), 75 deletions(-) diff --git a/egs/commonvoice/README.md b/egs/commonvoice/README.md index 79e0384..6967bda 100644 --- a/egs/commonvoice/README.md +++ b/egs/commonvoice/README.md @@ -1,141 +1,147 @@ # aishell1 +## Install deps +``` +pip install librosa==0.8.1 matplotlib h5py +``` + ## Prepare Dataset ``` -cd egs/aishell1 +cd egs/commonvoice # Those stages are very time-consuming bash prepare.sh --stage -1 --stop-stage 3 +(actually this params don't seem to even work; didn't bother fixing it though; just manually set it at the top of the shell script.) ## train Cut statistics: -╒═══════════════════════════╤═══════════╕ -│ Cuts count: │ 120098 │ -├───────────────────────────┼───────────┤ -│ Total duration (hh:mm:ss) │ 150:51:08 │ -├───────────────────────────┼───────────┤ -│ mean │ 4.5 │ -├───────────────────────────┼───────────┤ -│ std │ 1.4 │ -├───────────────────────────┼───────────┤ -│ min │ 1.2 │ -├───────────────────────────┼───────────┤ -│ 25% │ 3.5 │ -├───────────────────────────┼───────────┤ -│ 50% │ 4.3 │ -├───────────────────────────┼───────────┤ -│ 75% │ 5.3 │ -├───────────────────────────┼───────────┤ -│ 99% │ 8.5 │ -├───────────────────────────┼───────────┤ -│ 99.5% │ 9.1 │ -├───────────────────────────┼───────────┤ -│ 99.9% │ 10.5 │ -├───────────────────────────┼───────────┤ -│ max │ 14.5 │ -├───────────────────────────┼───────────┤ -│ Recordings available: │ 120098 │ -├───────────────────────────┼───────────┤ -│ Features available: │ 120098 │ -├───────────────────────────┼───────────┤ -│ Supervisions available: │ 120098 │ -╘═══════════════════════════╧═══════════╛ +╒═══════════════════════════╤════════════╕ +│ Cuts count: │ 5122876 │ +├───────────────────────────────────────── +│ Total duration (hh:mm:ss) │ 7598:10:45 │ +├───────────────────────────────────────── +│ mean │ 5.3 │ +├───────────────────────────────────────── +│ std │ 1.7 │ +├───────────────────────────────────────── +│ min │ 0.1 │ +├───────────────────────────────────────── +│ 25% │ 4.1 │ +├───────────────────────────────────────── +│ 50% │ 5.2 │ +├───────────────────────────────────────── +│ 75% │ 6.4 │ +├───────────────────────────────────────── +│ 99% │ 9.7 │ +├───────────────────────────────────────── +│ 99.5% │ 10.1 │ +├───────────────────────────────────────── +│ 99.9% │ 10.5 │ +├───────────────────────────────────────── +│ max │ 49.9 │ +├───────────────────────────────────────── +│ Recordings available: │ 5122876 │ +├───────────────────────────────────────── +│ Features available: │ 5122876 │ +├───────────────────────────────────────── +│ Supervisions available: │ 5122876 │ +╘═══════════════════════════╧════════════╛ SUPERVISION custom fields: Speech duration statistics: -╒══════════════════════════════╤═══════════╤══════════════════════╕ -│ Total speech duration │ 150:51:08 │ 100.00% of recording │ -├──────────────────────────────┼───────────┼──────────────────────┤ -│ Total speaking time duration │ 150:51:08 │ 100.00% of recording │ -├──────────────────────────────┼───────────┼──────────────────────┤ -│ Total silence duration │ 00:00:00 │ 0.00% of recording │ -╘══════════════════════════════╧═══════════╧══════════════════════╛ +╒══════════════════════════════╤════════════╤══════════════════════╕ +│ Total speech duration │ 7598:10:45 │ 100.00% of recording │ +├─────────────────────────────────────────────────────────────────── +│ Total speaking time duration │ 7598:10:45 │ 100.00% of recording │ +├─────────────────────────────────────────────────────────────────── +│ Total silence duration │ 00:00:01 │ 0.00% of recording │ +╘══════════════════════════════╧════════════╧══════════════════════╛ ## dev Cut statistics: ╒═══════════════════════════╤══════════╕ -│ Cuts count: │ 400 │ +│ Cuts count: │ 9600 │ ├───────────────────────────┼──────────┤ -│ Total duration (hh:mm:ss) │ 00:28:37 │ +│ Total duration (hh:mm:ss) │ 13:35:01 │ ├───────────────────────────┼──────────┤ -│ mean │ 4.3 │ +│ mean │ 5.1 │ ├───────────────────────────┼──────────┤ -│ std │ 1.1 │ +│ std │ 1.8 │ ├───────────────────────────┼──────────┤ -│ min │ 2.3 │ +│ min │ 1.3 │ ├───────────────────────────┼──────────┤ -│ 25% │ 3.5 │ +│ 25% │ 3.7 │ ├───────────────────────────┼──────────┤ -│ 50% │ 4.0 │ +│ 50% │ 4.9 │ ├───────────────────────────┼──────────┤ -│ 75% │ 5.0 │ +│ 75% │ 6.3 │ ├───────────────────────────┼──────────┤ -│ 99% │ 7.4 │ +│ 99% │ 9.9 │ ├───────────────────────────┼──────────┤ -│ 99.5% │ 7.5 │ +│ 99.5% │ 10.1 │ ├───────────────────────────┼──────────┤ -│ 99.9% │ 8.0 │ +│ 99.9% │ 10.5 │ ├───────────────────────────┼──────────┤ -│ max │ 8.0 │ +│ max │ 11.0 │ ├───────────────────────────┼──────────┤ -│ Recordings available: │ 400 │ +│ Recordings available: │ 9600 │ ├───────────────────────────┼──────────┤ -│ Features available: │ 400 │ +│ Features available: │ 9600 │ ├───────────────────────────┼──────────┤ -│ Supervisions available: │ 400 │ +│ Supervisions available: │ 9600 │ ╘═══════════════════════════╧══════════╛ SUPERVISION custom fields: Speech duration statistics: ╒══════════════════════════════╤══════════╤══════════════════════╕ -│ Total speech duration │ 00:28:37 │ 100.00% of recording │ +│ Total speech duration │ 13:35:01 │ 100.00% of recording │ ├──────────────────────────────┼──────────┼──────────────────────┤ -│ Total speaking time duration │ 00:28:37 │ 100.00% of recording │ +│ Total speaking time duration │ 13:35:01 │ 100.00% of recording │ ├──────────────────────────────┼──────────┼──────────────────────┤ -│ Total silence duration │ 00:00:00 │ 0.00% of recording │ +│ Total silence duration │ 00:00:01 │ 0.00% of recording │ ╘══════════════════════════════╧══════════╧══════════════════════╛ ## test Cut statistics: ╒═══════════════════════════╤══════════╕ -│ Cuts count: │ 7176 │ +│ Cuts count: │ 9600 │ ├───────────────────────────┼──────────┤ -│ Total duration (hh:mm:ss) │ 10:01:49 │ +│ Total duration (hh:mm:ss) │ 14:20:55 │ ├───────────────────────────┼──────────┤ -│ mean │ 5.0 │ +│ mean │ 5.4 │ ├───────────────────────────┼──────────┤ -│ std │ 1.6 │ +│ std │ 1.9 │ ├───────────────────────────┼──────────┤ -│ min │ 1.9 │ +│ min │ 1.0 │ ├───────────────────────────┼──────────┤ -│ 25% │ 3.8 │ +│ 25% │ 3.9 │ ├───────────────────────────┼──────────┤ -│ 50% │ 4.7 │ +│ 50% │ 5.1 │ ├───────────────────────────┼──────────┤ -│ 75% │ 5.9 │ +│ 75% │ 6.7 │ ├───────────────────────────┼──────────┤ -│ 99% │ 9.9 │ +│ 99% │ 10.2 │ ├───────────────────────────┼──────────┤ -│ 99.5% │ 10.7 │ +│ 99.5% │ 10.4 │ ├───────────────────────────┼──────────┤ -│ 99.9% │ 11.9 │ +│ 99.9% │ 10.9 │ ├───────────────────────────┼──────────┤ -│ max │ 14.7 │ +│ max │ 21.7 │ ├───────────────────────────┼──────────┤ -│ Recordings available: │ 7176 │ +│ Recordings available: │ 9600 │ ├───────────────────────────┼──────────┤ -│ Features available: │ 7176 │ +│ Features available: │ 9600 │ ├───────────────────────────┼──────────┤ -│ Supervisions available: │ 7176 │ +│ Supervisions available: │ 9600 │ ╘═══════════════════════════╧══════════╛ SUPERVISION custom fields: Speech duration statistics: ╒══════════════════════════════╤══════════╤══════════════════════╕ -│ Total speech duration │ 10:01:49 │ 100.00% of recording │ +│ Total speech duration │ 14:20:55 │ 100.00% of recording │ ├──────────────────────────────┼──────────┼──────────────────────┤ -│ Total speaking time duration │ 10:01:49 │ 100.00% of recording │ +│ Total speaking time duration │ 14:20:55 │ 100.00% of recording │ ├──────────────────────────────┼──────────┼──────────────────────┤ -│ Total silence duration │ 00:00:00 │ 0.00% of recording │ +│ Total silence duration │ 00:00:01 │ 0.00% of recording │ ╘══════════════════════════════╧══════════╧══════════════════════╛ ``` From add9143bbe7ceb55efdf23ef59a2564708d1ee23 Mon Sep 17 00:00:00 2001 From: RuntimeRacer Date: Mon, 1 May 2023 19:40:46 +0200 Subject: [PATCH 15/15] corrected aishell title and references --- egs/commonvoice/README.md | 2 +- egs/commonvoice/prepare.sh | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/egs/commonvoice/README.md b/egs/commonvoice/README.md index 6967bda..698ccf9 100644 --- a/egs/commonvoice/README.md +++ b/egs/commonvoice/README.md @@ -1,4 +1,4 @@ -# aishell1 +# Mozilla CommonVoice ## Install deps ``` diff --git a/egs/commonvoice/prepare.sh b/egs/commonvoice/prepare.sh index 7f234d6..9a4914d 100755 --- a/egs/commonvoice/prepare.sh +++ b/egs/commonvoice/prepare.sh @@ -13,8 +13,8 @@ stop_stage=4 # directories and files. If not, they will be downloaded # by this script automatically. # -# - $dl_dir/aishell -# You can download aishell from https://www.openslr.org/33/ +# - $dl_dir/commonvoice +# You can download commonvoice from https://commonvoice.mozilla.org/ # dl_dir=$PWD/download