Speaker recognition toolkit for Indian languages
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Updated
May 4, 2023 - Python
Speaker recognition toolkit for Indian languages
Backend service for extracting and processing voice data
Matrix display which recognise speaker by his voice
A short test to determine the distribution of similarity scores for different SpeechBrain speaker identification models.
Dissertation Project: Vision-Based active speaker detection
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.
Speaker identification on audio files using the pyannote/embedding model.
Training, inference, and evaluate of the speaker identification and verification model are carried out, and evasion attacks (FGSM, PGD) are performed.
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
Frame wise identification of dominant speakers in short videos using spatial models
Speaker Identification System built using mfcc, delta features and streamlit for web-based application.
Training and evaluation of VGGVox neural network for speaker identification
For further release go to: https://git-lium.univ-lemans.fr/speaker/sidekit
The simplest & most comprehensible tutorial on speaker identification with NVIDIA's `Nemo`.
Speaker recognition app using machine learning with recording and import features with GUI.
An extension of Sinc CNN implementation for speaker identification on Nepali Dataset.
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