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This repository contains my attempt to use two famous speech recognition frameworks (Kaldi, CMU Sphinx4) for Arabic Language using the publicly-available dataset "Arabic Corpus of Isolated Words"
FastCGI support for Kaldi ASR
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Contrastive Predictive Coding for Automatic Speaker Verification
The voices of different people are tested for 20 properties. These properties include mean-frequency, standard deviation, kurtosis, skew, mode frequency , modulation index , fundamental freq....,etc . My work includes the demonstation of the much probable properties showcased by females as well as males. The study of important attributes for voice recognition and their varied concentration in each gender using the inferences drawn from the various regression plots, pair plots, scatter plots , etc. Dataset is also standardized or normalized prior to training for better performance. Different models are tried . Also plotted their accuracy curves to understand the variation of parameters wrt accuracy. The parameters were tuned using repetitive piecewise gridsearch to compute things efficiently wrt time. Support Vector Machines are taken much care off till end and gave a cross-validated accuracy of 97.004 %. Further a train test spilt accuracy of 99.36 % given by XGBoost Classifier.
Demonstration of developing a digit recogniser for Kaldi with the Alveo database
Service for easy access to speech recognition capabilities of Kaldi using REST API. Simple deployment and usage in couple clicks with Docker containers. Currently supports Russian. Models for other languages may be easily added in case of need.
CNN to classify samples of voice recordings into the language that was spoken
Kaldi based Malayalam spoken digit recognizer. Mirror of https://gitlab.com/kavyamanohar/malayalam-spoken-digit-recognizer
This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
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