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Releases: LuluW8071/Automatic-Speech-Recognition-with-PyTorch

Release of Speech Recognition Model V0.0.1

21 Mar 16:33
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Introducing the Speech Recognition Model V1, a cutting-edge system integrating a Convolutional Neural Network (CNN) - LSTM Acoustic Model, a Connectionist Temporal Classification (CTC) Decoder, and a KENLM Language Model. This release aims to provide enhanced accuracy and efficiency in speech recognition tasks.

Key Features:

  • Utilizes CNN + LSTM Neural Network architecture for robust acoustic modeling.
  • Incorporates a Connectionist Temporal Classification (CTC) Decoder for sequence labeling.
  • Enhanced accuracy through integration with a KENLM Language Model.
  • Access the trained model via this link: Trained Model

Experience the power of state-of-the-art speech recognition with Speech Recognition Model V1!