-
Notifications
You must be signed in to change notification settings - Fork 6
/
MakeLMDB.lua
211 lines (174 loc) · 6.51 KB
/
MakeLMDB.lua
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
require 'lfs'
require 'audio'
require 'xlua'
require 'lmdb'
require 'torch'
require 'parallel'
local tds = require 'tds'
local cmd = torch.CmdLine()
cmd:option('-rootPath', './temp_data', 'Path to the data')
cmd:option('-lmdbPath', './temp_data/lmdb', 'Path to save LMDBs to')
cmd:option('-windowSize', 0.020, 'Window size for audio data')
cmd:option('-stride', 0.01, 'Stride for audio data')
cmd:option('-sampleRate', 16000, 'Sample rate of audio data (Default 16khz)')
cmd:option('-audioExtension', 'wav', 'The extension of the audio files (wav/mp3/sph/etc)')
cmd:option('-processes', 16, 'Number of processes used to create LMDB')
local opt = cmd:parse(arg)
local dataPath = opt.rootPath
local lmdbPath = opt.lmdbPath
local extension = '.' .. opt.audioExtension
parallel.nfork(opt.processes)
local function startWriter(path, name)
local db = lmdb.env {
Path = path,
Name = name
}
db:open()
local txn = db:txn()
return db, txn
end
local function closeWriter(db, txn)
txn:commit()
db:close()
end
local function createLMDB(dataPath, lmdbPath, id)
local vecs = tds.Vec()
local sortIdsPath = 'sort_ids_'.. id .. '.t7' -- in case of crash, sorted ids are saved
local function file_exists(name)
local f = io.open(name, "r")
if f ~= nil then io.close(f) return true else return false end
end
if not file_exists(sortIdsPath) then
local size = tonumber(sys.execute("find " .. dataPath .. " -type f -name '*'" .. extension .. " | wc -l "))
vecs:resize(size)
local files = io.popen("find -L " .. dataPath .. " -type f -name '*" .. extension .. "'")
local counter = 1
print("Retrieving sizes for sorting...")
local buffer = tds.Vec()
buffer:resize(size)
for file in files:lines() do
buffer[counter] = file
counter = counter + 1
end
local function getSize(opts)
local audioFilePath = opts.file
local transcriptFilePath = opts.file:gsub(opts.extension, ".txt")
local opt = opts.opt
local audioFile = audio.load(audioFilePath)
local length = audio.spectrogram(audioFile, opt.windowSize * opt.sampleRate, 'hamming', opt.stride * opt.sampleRate):size(2)
return { audioFilePath, transcriptFilePath, length }
end
for x = 1, opt.processes do
local opts = { extension = extension, file = buffer[x], opt = opt }
parallel.children[x]:send({ opts, getSize })
end
local processCounter = 1
for x = 1, size do
local result = parallel.children[processCounter]:receive()
vecs[x] = tds.Vec(unpack(result))
xlua.progress(x, size)
if x % 1000 == 0 then collectgarbage() end
-- send next index to retrieve
if x + opt.processes <= size then
local opts = { extension = extension, file = buffer[x + opt.processes], opt = opt }
parallel.children[processCounter]:send({ opts, getSize })
end
if processCounter == opt.processes then
processCounter = 1
else
processCounter = processCounter + 1
end
end
print("Sorting...")
-- sort the files by length
local function comp(a, b) return a[3] < b[3] end
vecs:sort(comp)
-- remove files less than 40 time steps and greater than 10000 timesteps
while vecs[1][3]<40 do
vecs:remove(1)
end
while vecs[#vecs][3]>10000 do
vecs:remove(#vecs)
end
torch.save(sortIdsPath, vecs)
else
vecs = torch.load(sortIdsPath)
end
local size = #vecs
print("Creating LMDB dataset to: " .. lmdbPath)
-- start writing
local dbSpect, readerSpect = startWriter(lmdbPath .. '/spect', 'spect')
local dbTrans, readerTrans = startWriter(lmdbPath .. '/trans', 'trans')
local function getData(opts)
local opt = opts.opt
local audioFile = audio.load(opts.audioFilePath)
--print (audioFile)
local spect = audio.spectrogram(audioFile, opt.windowSize * opt.sampleRate, 'hamming', opt.stride * opt.sampleRate) -- freq-by-frames tensor
-- put into lmdb
spect = spect:float()
-- normalize the data
local mean = spect:mean()
local std = spect:std()
spect:add(-mean)
spect:div(std)
local transcript
for line in io.lines(opts.transcriptFilePath) do
transcript = line
end
return { spect, transcript }
end
for x = 1, opt.processes do
local vec = vecs[x]
local opts = { audioFilePath = vec[1], transcriptFilePath = vec[2], opt = opt }
parallel.children[x]:send({ opts, getData })
end
local processCounter = 1
local counter = 1
for x = 1, size do
local result = parallel.children[processCounter]:receive()
local spect, transcript = unpack(result)
readerSpect:put(x, spect)
readerTrans:put(x, transcript)
-- commit buffer
if x % 500 == 0 then
readerSpect:commit(); readerSpect = dbSpect:txn()
readerTrans:commit(); readerTrans = dbTrans:txn()
collectgarbage()
end
if x + opt.processes <= size then
local vec = vecs[x + opt.processes]
local opts = { audioFilePath = vec[1], transcriptFilePath = vec[2], opt = opt }
parallel.children[processCounter]:send({ opts, getData })
end
if processCounter == opt.processes then
processCounter = 1
else
processCounter = processCounter + 1
end
xlua.progress(x, size)
end
closeWriter(dbSpect, readerSpect)
closeWriter(dbTrans, readerTrans)
end
function parent()
local function looper()
require 'torch'
require 'audio'
while true do
local object = parallel.parent:receive()
local opts, code = unpack(object)
local result = code(opts)
parallel.parent:send(result)
collectgarbage()
end
end
parallel.children:exec(looper)
createLMDB(dataPath .. '/train', lmdbPath .. '/train', 'train')
createLMDB(dataPath .. '/test', lmdbPath .. '/test', 'test')
parallel.close()
end
local ok, err = pcall(parent)
if not ok then
print(err)
parallel.close()
end