Keyword spotting on STM32 with tensorflow lite
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Updated
Jun 12, 2024 - Python
Keyword spotting on STM32 with tensorflow lite
My code for the Human Data Analytics final project
Image keyword spotting (KWS) system for handwritten documents that utilizes quaternion-analysis based methods to create a parameters-efficient network. It works as a tool to retrieve scanned pages from a collection containing a specific query word.
A PyTorch implementation of our INTERSPEECH2021 paper 'A meta-learning approach for user-defined spoken term classification with varying classes and examples.'
A PyTorch implementation of our INTERSPEECH2020 paper 'An inverstigation of few-shot learning in spoken term classification.'
Various DL models for the audio domain
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…
A framework for generating labeled audio recordings of single-spoken keywords via automatic forced alignment.
Attention-based Adaptive filter designing for keyword classification
KS
Keyword and Entity Recognition with Sentence-Level Association Maps: a simple, fast, and novel way to perform keyword extraction on texts by simulating translational entropy calculation
Broadcasting-residual network model zoo for Multiple Classification Tasks.
Implementation of keyword spotting or wake up word
Speech Keyword detection using Wav2Vec Model
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
QbE Keyword Spotting System based on ASR
Adaptive filter designing for keyword classification
Collaborative Inference framework for Keyword Spotting
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