A high-performance (98% identification accuracy) & low-cost industrial speaker identification system.
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Updated
Mar 2, 2022
A high-performance (98% identification accuracy) & low-cost industrial speaker identification system.
Speaker recognition toolkit for Indian languages
Backend service for extracting and processing voice data
A utility to convert active talker events to Symbl's Speaker API request structure
Machine Leaning Model to identify the Speaker
A Streamlit web application for Voice recognition using a pre-trained speech embedding model.
SDU's project in DNN, Speaker Identification AI using PyTorch.
Demo data science project to take an input utterance and predict which member of the core Rick & Morty family is most likely to say it.
Research on speech processing, speaker identification and audio diarization
Implementation of a text-independent Speaker Identification (SI) system based on Gaussian Mixture Models (GMMs).
Code will take the name of the speaker as an input and create 13 Recordings with different naming into the folder. For creating a dataset for Speaker Identification Using Pitch and MFCC example on mathworks
Training, inference, and evaluate of the speaker identification and verification model are carried out, and evasion attacks (FGSM, PGD) are performed.
Cette application utilise la reconnaissance vocale , la synthèse vocale et la reconnaissance du locuteur
This project was done as part of a research teaser project on Speaker Recognition conducted with IIIT Hydrabad.
This repository contains a pipeline to annotate German raw text with speech, thought and writing instances and their respective speakers. For the identification of the speakers, four sieve systems are used one system for each type of representation: direct, indirect, reported and free indirect
Speaker Identification System built using mfcc, delta features and streamlit for web-based application.
Frame wise identification of dominant speakers in short videos using spatial models
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