tensorflow-ctc-speech-recognition and ctc-asr

These are competitors, as both are independent, end-to-end speech recognition systems implementing CTC with RNNs.

ctc-asr
47
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 131
Forks: 47
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 123
Forks: 36
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

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).

speech-to-text audio-transcription natural-language-processing acoustic-modeling voice-technology

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.

speech-to-text audio-transcription linguistics-research voice-data-processing

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