sooftware/jasper
PyTorch implementation of "Jasper: An End-to-End Convolutional Neural Acoustic Model" (INTERSPEECH 2019)
This project helps developers integrate a high-performance acoustic model into their applications. It takes raw audio data (represented as spectrograms or similar features) as input and processes it to identify distinct sounds or spoken words, outputting classified acoustic information. This is ideal for developers building speech recognition systems or other audio processing applications.
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Use this if you are a developer looking to implement an efficient, end-to-end convolutional neural acoustic model for tasks like speech recognition within your Python/PyTorch-based project.
Not ideal if you are an end-user without programming experience looking for a ready-to-use speech-to-text application.
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Language
Python
License
Apache-2.0
Category
Last pushed
Mar 04, 2021
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