speech-recognizer

"Google Now" style animation for Speech Recognizer.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Trained models for automatic speech recognition (ASR). A library to quickly build applications that require speech to text conversion.

react-native-android-voice is a speech-to-text library for React Native for the Android Platform.

A pytorch based end2end speech recognition system.

End-to-end Solution for Speech Recognition, Text Translation, and Text-to-Speech for iOS using Amazon Translate and Amazon Polly as AWS Machine Learning managed services.

Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

👄 Java-Speech-Recognizer-Tutorial--Calculator

It recognize your speech and trained AI Bot will respond(i.e Customer Service, Personal Assistant) using Machine Learning API (DialogFlow, apiai), Speech Recognition, GraphQL, Next.js, React, redux

An application that demostrate the usage of Syn.Speech library for Speech Recognition

Transformer-based online speech recognition system with TensorFlow 2

🎙️Spoken Digit Recognition with LSTM

Example python scripts to evaluate various ASR methods

S.C.A.R.L.E.T (Sorta Crappy Assistant Robot Lazily Engineered Today) To be honest making up that acronym was easier than making this virtual assistant.'She' obeys some of the following commands:search + (what you want to search for),email-opens Gmail.What time is it?What date is it?Youtube-opens Youtube,shut down,Scarlet (check for responsiveness).This virtual assistant is very far from perfect but I hope to improve it as I continue to learn the deeper workings of the Python programming language. I could use some help with her later versions..

Recognize English speech then convert it to text then generate a SQL query from it and then finally fetch data from database

Automatic Speech Recognition (ASR) system was implemented using the HMM toolkit for building HMM model using training data. Then, this trained HMM Model was used for recognising words and results revealed that 80.02% accuracy for Phoneme Level Acoustic Model and 79.36% accuracy for word Level Acoustic Model. This developed system can be used by developers and researchers who are interested in speech recognition for language and any other related Indian languages.

This is an Android application which shows the usage of RecyclerView with Staggered Grid Layout Manager and also using Card View for items in RecyclerView and performing animations while scrolling RecyclerView and finally provides a speech mechanism which allows users to speak to control the automated scrolling(STA) of RecyclerView.

Simple python script to convert live speech or any audio file to text using Google Speech Rexognition API♥

Some approaches based on deep learning to build the acoustic model for an end-to-end automatic speech recognition (ASR) pipeline.

Speech to Text

The Conversational Flow combines both native built-in resources and cloud services into a software component capable to run reliably a Speech Synthesizer and a Voice Recognizer.

Collection of broadcast news video clips

Chatterbox STT engines

Offline Speech Recognition For Android Library

A reader application for Android with Voice Interaction

Swift project of getting user voice in format like "Find me tickets from Moscow to Paris tomorrow" or "Get flight SU 1452 in 26 of July" and parse it on parameters using Dialogflow.com

Sample applications (.NET console & UWP app) used to test Speech Recognition in the Microsoft Speech SDK using WebSockets.

this repository concedes my project work done in my bachelors