SincNet is a neural architecture for efficiently processing raw audio samples.
Process raw audio samples efficiently for tasks like speaker identification using a specialized neural network.
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Free · no card · unsubscribe anytimeSincNet is a neural architecture for efficiently processing raw audio samples.
SincNet has 1.2k stars on GitHub. It has been forked 271 times. SincNet is written mainly in Python. It has been in active development since 2018. SincNet is available under the MIT license. Its main topics are artificial-intelligence, asr, audio, audio-processing.
SincNet is a neural architecture for efficiently processing raw audio samples.
SincNet is an open-source project. It is released under the MIT license.
Yes. SincNet is free and open source — you can use, modify and self-host it.
SincNet is available under the MIT license.
SincNet is written mainly in Python.
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