jaketae/conformer
PyTorch implementation of Conformer: Convolution-augmented Transformer for Speech Recognition
This project helps developers build advanced automatic speech recognition (ASR) systems. It takes raw audio data or audio features and processes them to extract meaningful representations. It's intended for machine learning engineers and researchers working on audio-related AI applications.
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Use this if you are a developer building an AI model for speech recognition or other audio generation tasks and need a powerful, pre-built component for processing audio inputs.
Not ideal if you are an end-user looking for a ready-to-use speech-to-text application, as this is a foundational building block for such systems.
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Language
Python
License
MIT
Category
Last pushed
Apr 25, 2021
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