Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow
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Updated
Jan 19, 2018 - Python
Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow
Kaggle Competitions: TensorFlow Speech Recognition Challenge
Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations
Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.
Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.
A Model-based Agent, for chinese speech recognize.
This project is about spotting a keyword from the Google Speech Commands Dataset.
Attention-based model for keywords spotting
Audio Classification with AlexNet and Speech Commands dataset
Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.
Pytorch implementation of BiFSMN, IJCAI 2022
Effective processing pipeline and advanced neural network architectures for small-footprint keyword spotting
Classify audio with neural nets on embedded systems like the Raspberry Pi
A library built for easier audio self-supervised training, downstream tasks evaluation
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