GitHub / zhaoyu611 / Automatic_Speech_Recognition_with_Multi_Models
A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.
Stars: 18
Forks: 8
Open issues: 1
License: None
Language: Python
Size: 981 MB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: about 1 year ago
Pushed at: over 7 years ago
Last synced at: about 1 year ago
Topics: acoustic-model, automatic-speech-recognition, ctc, deep-learning, lstm, rnn, tensorflow, timit