Many ASRs under one roof. With Benchmarking... answering the question. What is the best ASR for my dataset?

Created an ASR (Automatic Speech Recognition) system that takes in individual recordings. Each recording represents a sentence composed of 5-10 English language digits, separated by adequate pauses. The system involves segmenting the sentence using a classifier, differentiating between background and foreground sounds.

This project presents Hera, an Operating System level voice recognition package that understands voice commands to perform actions to simplify the user’s workflow. We propose a modernistic way of interacting with Linux systems, where the latency of conventional physical inputs are minimized through the use of natural language speech recognition.

ASR pytorch project

FM signal capturing system and voice recognition for the assistance of individuals with hearing impairments.

A Spotify Remote that operates using an ML Powered Automated Speech Recognization and Intent Detection Pipeline

Metric evaluator for Automatic Speech Recognition using the HATS dataset

Interface for automated transcription and time alignment of conversational interview data

Understanding ASR

Simpler Distil-Whisper

SPEAR-ASR and SPEAR-WakeUp Software Development Kit in Python for Linux

ASR for end2end training by pytorch

Respeaker Pixel Ring wrapper which allows managing LEDs via MQTT.

End to End Automatic Speech Recognition on Librispeech: Pytorch implementation

ASR from scratch with DeepSpeech

A tool to perform functional testing and performance testing of the Dhruva Platform

A Streamlit app to evaluate the accuracy of automatic speech recognition (ASR) transcription services.

Implementation of a paradigm to make interpretable metrics in ASR.

A basic toolkit for speech analytics, using GPT and Whisper-X