⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The hi…
Meta-embeddings are a probabilistic generalization of embeddings in machine learning.
The Main Aim of this project is to segment and cluster an audio sample based on speaker when number of speakers are not known before hand. Main challenge in the process of speaker recognition is separting audio based on speaker.It can enhance the readability of an automatic speech transcription by structuring the audio stream into speaker turns …
An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm
Isolated Bengali word and speaker recognition.
Voice Activity Detection and signal segmentation in time windows. Feature extraction in time and frequency domain. Classification in ten individual speakers.
This repo contains the project of the relative subject "Sound and Image Technology" which was taught in the academic calendar year of 2019-20 in the department of electrical and computer engineering in Aristotle university of Thessaloniki
A simple text-dependent speaker-recognition system in two different approaches: LPC averaging and MFCC
Speaker identification using Eys and Breath.
Project implemented in MATLAB.
Audio signal processing via Mel Frequency Cepstral Coefficients (MFCC) which leads to speaker recognition using MATLAB.
This description will one day recognize you as you read this :D #SpeakerRecognition
Speaker Recognition based on GMM
Add a description, image, and links to the speaker-recognition topic page so that developers can more easily learn about it.
To associate your repository with the speaker-recognition topic, visit your repo's landing page and select "manage topics."