A library built for easier audio self-supervised training, downstream tasks evaluation
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Updated
Apr 18, 2024 - Python
A library built for easier audio self-supervised training, downstream tasks evaluation
Classify audio with neural nets on embedded systems like the Raspberry Pi
Female Replacement Intelligent Digital Assistant Youth
zero-shot keyword spotting with KWS test dataset using ImageBind
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Effective processing pipeline and advanced neural network architectures for small-footprint keyword spotting
Pytorch implementation of BiFSMN, IJCAI 2022
Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.
Audio Classification with AlexNet and Speech Commands dataset
Attention-based model for keywords spotting
This project is about spotting a keyword from the Google Speech Commands Dataset.
A Model-based Agent, for chinese speech recognize.
Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.
Speech recognition of keyword commands
A Vocola 2 (DNS) extension for creating and editing mathematics (in LaTeX) by voice, using a ZOO interface (Zoomable Online Outliner) such as WorkFlowy or Dynalist.
Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.
Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations
Kaggle Competitions: TensorFlow Speech Recognition Challenge
Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow
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