Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.
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Updated
Jun 21, 2020 - Python
Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.
zero-shot keyword spotting with KWS test dataset using ImageBind
Small footprint, standalone, zero dependency, offline keyword spotting (KWS) CLI tool.
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.
This project is about spotting a keyword from the Google Speech Commands Dataset.
Audio Classification with AlexNet and Speech Commands dataset
Female Replacement Intelligent Digital Assistant Youth
A Model-based Agent, for chinese speech recognize.
Speech recognition of keyword commands
A Python-based application designed specifically for visually impaired users, enabling them to seamlessly send and receive emails using intuitive speech commands. This innovative solution enhances accessibility and independence by allowing users to manage their email communication effortlessly, utilizing voice recognition technology to ensure a us.
Effective processing pipeline and advanced neural network architectures for small-footprint keyword spotting
Pytorch implementation of BiFSMN, IJCAI 2022
Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow
Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.
Attention-based model for keywords spotting
Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations
Kaggle Competitions: TensorFlow Speech Recognition Challenge
A library built for easier audio self-supervised training, downstream tasks evaluation
Classify audio with neural nets on embedded systems like the Raspberry Pi
Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.
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