SDK & Sample to do speech recognition using websockets in Javascript
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Updated
Mar 25, 2019 - TypeScript
SDK & Sample to do speech recognition using websockets in Javascript
Amazon Echo Alexa's App Kit Ruby Implementation
One line solution for Android Text to speech(TTS) & Speech to Text(STT) translation problem
A social media platform with a friend recommendation engine based on personality trait extraction
Mrzaizai2k Stock Assistant Bot: Your all-in-one stock analysis companion. Calculate payback time, find support/resistance, and receive market warnings.
利用瀏覽器的原生語音輸入與輸出,達到語音對話功能。ブラウザのネイティブ音声入出力を利用し、音声による会話を実現。
Speech to Text with Google for Android
Android application to text through which you can provide speech input to your app using Kotlin Programming Language.
App using python. A project with team of 5
This project displays full song metadata and lyrics by just inputting a few words from the song. Along with that, they see metadata of other songs in the album and songs from the same singer. Users can also listen to the song directly on Youtube. Not all data shown is free but is fetched for free by using HTML page parsing in Android.
GLUE is a lightweight, Python-based collection of scripts to support you at succeeding with speech and text use-cases based on Microsoft Azure Cognitive Services.
A few lines of code which convert speech to text.
A platform for the differently-abled to help them lead their lives easily especially during Covid-19
This is a voice-based email application that enables the visually impaired send mails with just voice commands. Implemented using TTS and STT libraries, Android Accessibility Features and SMPT Libraries
EaseIt is an AI powered tool that can write personalised messages, debug code of any language, make songs in any artist style, make your workout plan and can do anything that you can think of.
A web based platform that lets you control your DJI Tello drone via speech inputs and gestures. Utilises computer vision, networking, mediapipe and ANNs
Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. Moreover, it enables transcription in multiple languages, as
Speech Recognition-Transcribing text from an audio file using DeepSpeech/SpeechRecognition/Vosk/AssemblyAI API.
Automatic Meeting Summarizer - Provide Speaker wise abstractive and extractive summary of meetings, given the audio input of meeting recording.
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