google-speech-v2 - :speech_balloon: Reverse Engineering Google's Speech To Text API (v2)

  •        94

Google has since launched it's official Google Cloud Speech API. I strongly recommend looking over there. output: json, xml not supported.

https://github.com/gillesdemey/google-speech-v2

Tags
Implementation
License
Platform

   




Related Projects

nodejs-speech - Node

  •    Javascript

The Cloud Speech API enables easy integration of Google speech recognition technologies into developer applications. Send audio and receive a text transcription from the Cloud Speech API service. Select or create a Cloud Platform project.

p5.speech - Web Audio Speech Synthesis / Recognition for p5.js

  •    Javascript

p5.speech is a JavaScript library that provides simple, clear access to the Web Speech and Speech Recognition APIs, allowing for the easy creation of sketches that can talk and listen. It consists of two object classes (p5.Speech and p5.SpeechRec) along with accessor functions to speak and listen for text, change parameters (synthesis voices, recognition models, etc.), and retrieve callbacks from the system. Speech recognition requires launching from a server (e.g. a python simpleserver on a local machine).

speech2text - Using Google Speech to Text API Provide a Simple Interface to Convert Audio Files

  •    Ruby

Using the power of ffmpeg/flac/Google and ruby here is a simple interface to play with to convert speech to text. We're able to provide a very simple API in Ruby to decode simple audio to text.

speech2text - Using Google Speech to Text API Provide a Simple Interface to Convert Audio Files

  •    Ruby

Using Google Speech to Text API Provide a Simple Interface to Convert Audio Files

tacotron - A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

  •    Python

We train the model on three different speech datasets. LJ Speech Dataset is recently widely used as a benchmark dataset in the TTS task because it is publicly available. It has 24 hours of reasonable quality samples. Nick's audiobooks are additionally used to see if the model can learn even with less data, variable speech samples. They are 18 hours long. The World English Bible is a public domain update of the American Standard Version of 1901 into modern English. Its original audios are freely available here. Kyubyong split each chapter by verse manually and aligned the segmented audio clips to the text. They are 72 hours in total. You can download them at Kaggle Datasets.


aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

  •    Python

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment). aeneas automatically generates a synchronization map between a list of text fragments and an audio file containing the narration of the text. In computer science this task is known as (automatically computing a) forced alignment.

sonus - :speech_balloon: /so.nus/ STT (speech to text) for Node with offline hotword detection

  •    Javascript

Sonus lets you quickly and easily add a VUI (Voice User Interface) to any hardware or software project. Just like Alexa, Google Now, and Siri, Sonus is always listening offline for a customizable hotword. Once that hotword is detected your speech is streamed to the cloud recognition service of your choice - then you get the results. Generally, running npm install should suffice. This module however, requires you to install SoX.

text-to-speech-nodejs - :speaker: Sample Node

  •    Javascript

Text to Speech is designed for streaming, low latency, synthesis of audio from text. It is the inverse of the automatic speech recognition. You can view a demo of this app.

Speect - Multilingual text-to-speech (TTS) system

  •    C

Speect is a multilingual text-to-speech (TTS) system. It offers a full TTS system (text analysis which decodes the text, and speech synthesis, which encodes the speech) with various API’s, as well as an environment for research and development of TTS systems and voices.

stt-benchmark - speech to text benchmark framework

  •    Python

This is a minimalist and extensible framework for benchmarking different speech-to-text engines. It has been developed and tested on Ubuntu 18.04 with Python3.6. This framework has been developed by Picovoice as part of the project Cheetah. Cheetah is Picovoice's speech-to-text engine specifically designed for IoT applications. Deep learning has been the main driver in recent improvements in speech recognition. But due to stringent compute/storage limitations of IoT platforms it is most beneficial to the cloud-based engines. Picovoice's proprietary deep learning technology enables transferring these improvements to IoT platforms with much lower CPU/memory footprint. The goal is to be able to run Cheetah on any platform with a C Compiler and a few MB of memory.

react-native-speech - A text-to-speech library for React Native.

  •    Objective-C

React Native Speech is a text-to-speech library for React Native. In order to use Speech, you must first link the library your project. There's excellent documentation on how to do this in the React Native Docs.

dc_tts - A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

  •    Python

I implement yet another text-to-speech model, dc-tts, introduced in Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention. My goal, however, is not just replicating the paper. Rather, I'd like to gain insights about various sound projects. I train English models and an Korean model on four different speech datasets.

speech_recognition - Speech recognition module for Python, supporting several engines and APIs, online and offline

  •    Python

Library for performing speech recognition, with support for several engines and APIs, online and offline. Quickstart: pip install SpeechRecognition. See the "Installing" section for more details.

Talkie - Text-to-speech browser extension button

  •    Javascript

Talkie is a Text-to-speech browser extension button. It lets you listen to the selected text on any part of a page — short snippets or entire news articles. Just highlight what you want to hear read aloud and hit play. Automatically detects the text language per-page, and chooses a voice in the same language to match it. Support is available for Chrome and Firefox.

Google Speech Recognition Example

  •    

Google Speech Recognition contains a working example of application that uses google speech recognition API. App contains all necessary dlls to record, decode and send your voice request to google service and recieve a text representation of what you've said. It's developed i...

Concrete Voice - Complete Text to Speech System

  •    

Concrete Voice is a text-to-speech solution using Microsoft text-to-speech technologies. I started this project because I could not find a quality text-to-speech program to use. The commercial products are embarrassing to think they would ask money for something I would not ev...

eSpeak - Text to Speech

  •    C

eSpeak is a compact open source software speech synthesizer for English and other languages. eSpeak uses a formant synthesis method. This allows many languages to be provided in a small size. It supports SAPI5 version for Windows, so it can be used with screen-readers and other programs that support the Windows SAPI5 interface. It can translate text into phoneme codes, so it could be adapted as a front end for another speech synthesis engine.

deepvoice3_pytorch - PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

  •    Python

Audio samples are available at https://r9y9.github.io/deepvoice3_pytorch/. NOTE: pretrained models are not compatible to master. To be updated soon.

voice-elements - :speaker: Web Component wrapper to the Web Speech API, that allows you to do voice recognition and speech synthesis using Polymer

  •    HTML

Web Component wrapper to the Web Speech API, that allows you to do voice recognition (speech to text) and speech synthesis (text to speech) using Polymer. Or download as ZIP.

autosub - Command-line utility for auto-generating subtitles for any video file

  •    Python

Autosub is a utility for automatic speech recognition and subtitle generation. It takes a video or an audio file as input, performs voice activity detection to find speech regions, makes parallel requests to Google Web Speech API to generate transcriptions for those regions, (optionally) translates them to a different language, and finally saves the resulting subtitles to disk. It supports a variety of input and output languages (to see which, run the utility with the argument --list-languages) and can currently produce subtitles in either the SRT format or simple JSON.