tensorflow-ctc-speech-recognition and ctc-asr
These are competitors, as both are independent, end-to-end speech recognition systems implementing CTC with RNNs.
About tensorflow-ctc-speech-recognition
philipperemy/tensorflow-ctc-speech-recognition
Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
This project helps speech technologists and researchers convert spoken audio into written text using a neural network approach. You provide audio files of someone speaking, and it attempts to transcribe those words into a written transcript. It's designed for those exploring or implementing speech recognition systems, particularly with Connectionist Temporal Classification (CTC).
About ctc-asr
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.
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