holm-aune-bachelor2018/ctc
Speech recognition with CTC in Keras with Tensorflow backend
This project helps researchers and machine learning engineers explore different neural network architectures for converting spoken audio into written text. You feed it large datasets of speech recordings and their corresponding transcripts, and it produces a trained model that can automatically transcribe new audio. It's designed for those working on academic projects or proof-of-concept speech recognition systems.
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Use this if you are a researcher or ML engineer who wants to experiment with different recurrent neural network (RNN) and Connectionist Temporal Classification (CTC) configurations for speech recognition.
Not ideal if you need a ready-to-use speech-to-text application or a solution for production-scale speech transcription without deep technical configuration.
Stars
31
Forks
15
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 24, 2023
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