A PyTorch implementation of our INTERSPEECH2020 paper 'An inverstigation of few-shot learning in spoken term classification.'
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Updated
Jul 6, 2022 - Python
A PyTorch implementation of our INTERSPEECH2020 paper 'An inverstigation of few-shot learning in spoken term classification.'
Keyword Spotting using RNN with Attention layers
code written for Project 1 of the Summer 2021 REU @ UW Bothell
A PyTorch implementation of our INTERSPEECH2021 paper 'A meta-learning approach for user-defined spoken term classification with varying classes and examples.'
A node-red integration for https://github.com/mathquis/node-personal-wakeword
Comprehensive template for Deep Learning projects with examples
A keyphrase detector, often referred to a keyword spotter (KWS) is a simple speech processing application that detects the presence of a predefined word or short phrase in stream of audio. This is commonly encountered nowadays with hotwords (or wake words) such as "OK Google" or "Alexa" that are used by digital assistants to tell them when to st…
My code for the Human Data Analytics final project
Code to test feature extractor and backend classifier parameters of KWS systems.
Persian keyword spotting system
KS
Attention-based Adaptive filter designing for keyword classification
Repository to collect and design models for speech processing include keyword spotting, asr, tts, speech sinal process.
Intelloid is a voice AI company established in 2013.
KEYWORD SPOTTING
Qafar-af and Amharic voice Command Recognition project to control the movement of wheelchair
A framework for generating labeled audio recordings of single-spoken keywords via automatic forced alignment.
Official repository of TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping
Repository containing code, videos and documentation of my Master Thesis work "Cascading On-Device Keyword Spotting and Speaker Verification in TinyML"
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