mdangschat/ctc-asr
End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.
This is an automatic speech recognition (ASR) system that converts spoken audio into written text. You provide audio files (WAV format) and the system outputs their transcriptions. This tool is for researchers, linguists, or anyone needing to convert large audio datasets into text for analysis or further processing.
123 stars. No commits in the last 6 months.
Use this if you need to build or customize an end-to-end speech-to-text system for large audio datasets and have the technical expertise to train a machine learning model.
Not ideal if you're looking for a simple, out-of-the-box transcription service without needing to train a custom model or manage computational infrastructure.
Stars
123
Forks
36
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2020
Commits (30d)
0
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