easySpeech is an open-source Python wrapper for google speech to text API that doesn't require PyAudio(So you especially windows user don't have to deal with the errors while installing PyAudio) and also works with hugging face transformers

Overview

easySpeech


GitHub issues GitHub forks GitHub stars GitHub license GitHub last commit GitHub contributors Downloads


easySpeech is an open source python wrapper for google speech to text api that doesn't require PyAaudio(So you specially windows user don't have to deal with the errors while installing PyAudio) and also works with hugging face transformers

Installation

You can install easySpeech very easily using the following command

pip3 install easySpeech

Usage

  • Using google speech to text api
    By default easySpeech comes with a default api key which you can for testing purposes using the following code.
from easySpeech import speech
a=speech.speech('google')
print(a)

For production purpose use your own key because google can revoke the default api key at any time. Get your own api key from http://www.chromium.org/developers/how-tos/api-keys and use the following code

from easySpeech import speech
a=speech.speech('google',key="your api key")
print(a)

Specifying the duration of speech recognition in seconds(default value is 5 seconds)

from easySpeech import speech
a=speech.speech('google',duration = 10)
print(a)

Specifying the sample frequency(default is 44100)

from easySpeech import speech
a=speech.speech('google',duration = 10,freq = 44100)
print(a)

Specifying the language(works only for google speech api and default is english)

from easySpeech import speech
a=speech.speech('google',language="en-US")
print(a)

Converting an audio file to text(Currently it supports only wav file)

from easySpeech import speech
a=speech.google_audio('recording.wav')
print(a)
  • Using hugging face transformers(works offline and no need of any kind of api key) For using easySpeech with hugging face transformers use the following code.
from easySpeech import speech
a=speech.speech('ml')
print(a)

Specifying the duration of speech recognition in seconds(default valus is 5 seconds)

from easySpeech import speech
a=speech.speech('ml',duration = 10)
print(a)

Specifying the sample frequency(default is 44100)

from easySpeech import speech
a=speech.speech('ml',duration = 10,freq = 44100)
print(a)

Converting an audio file to text(Currently it supports only wav file)

from easySpeech import ml
a=ml.ml('recording.wav')
print(a)
  • Recording audio
    For recording audio use the following code
from easySpeech import speech
speech.recorder('recording.wav')

For recording audio with a specific frequency use the following code(default is 44100)

from easySpeech import speech
speech.recorder('recording.wav',freq = 50000)

For recording audio for a specific duration use the following code(default is 5s)

from easySpeech import speech
speech.recorder('recording.wav',duration = 50)

How to contribute

Since it is a free software , you can contribute to make it better. New contributors are always welcome, whether you write code, create resources, report bugs, or suggest features.

The easySpeech is written primarily in Python3x

Have a look at the open issues to find a mission that resonates with you.


Contact

Email: [email protected]
If you find any bug make a issue immediately.

License

easySpeech is lisenced under MIT license

MIT License | Copyright (c) 2021 SaptakBhoumik

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software
You might also like...
Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

Pytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

A Python module made to simplify the usage of Text To Speech and Speech Recognition.
A Python module made to simplify the usage of Text To Speech and Speech Recognition.

Nav Module The solution for voice related stuff in Python Nav is a Python module which simplifies voice related stuff in Python. Just import the Modul

A python script to prefab your scripts/text files, and re create them with ease and not have to open your browser to copy code or write code yourself
A python script to prefab your scripts/text files, and re create them with ease and not have to open your browser to copy code or write code yourself

Scriptfab - What is it? A python script to prefab your scripts/text files, and re create them with ease and not have to open your browser to copy code

A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk.

Simple-Vosk A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk. Check out the official Vosk G

PocketSphinx is a lightweight speech recognition engine, specifically tuned for handheld and mobile devices, though it works equally well on the desktop

PocketSphinx 5prealpha This is PocketSphinx, one of Carnegie Mellon University's open source large vocabulary, speaker-independent continuous speech r

Code for ACL 2022 main conference paper "STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation".

STEMM: Self-learning with Speech-Text Manifold Mixup for Speech Translation This is a PyTorch implementation for the ACL 2022 main conference paper ST

Creating an Audiobook (mp3 file) using a Ebook (epub) using BeautifulSoup and Google Text to Speech

epub2audiobook Creating an Audiobook (mp3 file) using a Ebook (epub) using BeautifulSoup and Google Text to Speech Input examples qual a pasta do seu

Command Line Text-To-Speech using Google TTS
Command Line Text-To-Speech using Google TTS

cli-tts Thanks to gTTS by @pndurette! This is an interactive command line text-to-speech tool using Google TTS. Just type text and the voice will be p

Releases(v1.0.2)
  • v1.0.2(Jun 3, 2021)

    easySpeech is an open-source Python wrapper for google speech to text API that doesn't require PyAudio(So you especially windows user don't have to deal with the errors while installing PyAudio) and also works with hugging face transformers. You can also use it to record sound. What's new

    1. It is now even more easy to use
    2. Minor bug fix
    Source code(tar.gz)
    Source code(zip)
  • v1.0.1(Jun 1, 2021)

    easySpeech is an open-source Python wrapper for google speech to text API that doesn't require PyAudio(So you especially windows user don't have to deal with the errors while installing PyAudio) and also works with hugging face transformers. You can also use it to record sound.

    Source code(tar.gz)
    Source code(zip)
Text vectorization tool to outperform TFIDF for classification tasks

WHAT: Supervised text vectorization tool Textvec is a text vectorization tool, with the aim to implement all the "classic" text vectorization NLP meth

186 Dec 29, 2022
Smart discord chatbot integrated with Dialogflow

academic-NLP-chatbot Smart discord chatbot integrated with Dialogflow to interact with students naturally and manage different classes in a school. De

Tom Huynh 5 Oct 24, 2022
An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

GPT-NeoX An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hun

EleutherAI 3.1k Jan 08, 2023
मराठी भाषा वाचविण्याचा एक प्रयास. इंग्रजी ते मराठीचा शब्दकोश. An attempt to preserve the Marathi language. A lightweight and ad free English to Marathi thesaurus.

For English, scroll down मराठी शब्द मराठी भाषा वाचवण्यासाठी मी हा ओपन सोर्स प्रोजेक्ट सुरू केला आहे. माझ्या मते, आपली भाषा हळूहळू आणि कोणाचाही लक्षात

मुक्त स्त्रोत 20 Oct 11, 2022
This is a NLP based project to extract effective date of the contract from their text files.

Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is

Sambhav Garg 1 Jan 26, 2022
Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al

Implementation of some unbalanced loss for NLP task like focal_loss, dice_loss, DSC Loss, GHM Loss et.al Summary Here is a loss implementation reposit

121 Jan 01, 2023
History Aware Multimodal Transformer for Vision-and-Language Navigation

History Aware Multimodal Transformer for Vision-and-Language Navigation This repository is the official implementation of History Aware Multimodal Tra

Shizhe Chen 46 Nov 23, 2022
Weird Sort-and-Compress Thing

Weird Sort-and-Compress Thing A weird integer sorting + compression algorithm inspired by a conversation with Luthingx (it probably already exists by

Douglas 1 Jan 03, 2022
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

TextDistance TextDistance -- python library for comparing distance between two or more sequences by many algorithms. Features: 30+ algorithms Pure pyt

Life4 3k Jan 06, 2023
Ecco is a python library for exploring and explaining Natural Language Processing models using interactive visualizations.

Visualize, analyze, and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BER

Jay Alammar 1.6k Dec 25, 2022
PRAnCER is a web platform that enables the rapid annotation of medical terms within clinical notes.

PRAnCER (Platform enabling Rapid Annotation for Clinical Entity Recognition) is a web platform that enables the rapid annotation of medical terms within clinical notes. A user can highlight spans of

Sontag Lab 39 Nov 14, 2022
PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

PyTorch Large-Scale Language Model A Large-Scale PyTorch Language Model trained on the 1-Billion Word (LM1B) / (GBW) dataset Latest Results 39.98 Perp

Ryan Spring 114 Nov 04, 2022
A fast and easy implementation of Transformer with PyTorch.

FasySeq FasySeq is a shorthand as a Fast and easy sequential modeling toolkit. It aims to provide a seq2seq model to researchers and developers, which

宁羽 7 Jul 18, 2022
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Rasa Open Source Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual

Rasa 15.3k Dec 30, 2022
Example code for "Real-World Natural Language Processing"

Real-World Natural Language Processing This repository contains example code for the book "Real-World Natural Language Processing." AllenNLP (2.5.0 or

Masato Hagiwara 303 Dec 17, 2022
FactSumm: Factual Consistency Scorer for Abstractive Summarization

FactSumm: Factual Consistency Scorer for Abstractive Summarization FactSumm is a toolkit that scores Factualy Consistency for Abstract Summarization W

devfon 83 Jan 09, 2023
超轻量级bert的pytorch版本,大量中文注释,容易修改结构,持续更新

bert4pytorch 2021年8月27更新: 感谢大家的star,最近有小伙伴反映了一些小的bug,我也注意到了,奈何这个月工作上实在太忙,更新不及时,大约会在9月中旬集中更新一个只需要pip一下就完全可用的版本,然后会新添加一些关键注释。 再增加对抗训练的内容,更新一个完整的finetune

muqiu 317 Dec 18, 2022
Converts text into a PDF of handwritten notes

Text To Handwritten Notes Converts text into a PDF of handwritten notes Explore the docs » · Report Bug · Request Feature · Steps: $ git clone https:/

UVSinghK 63 Oct 09, 2022
An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

Extracting OpenAI CLIP (Global/Grid) Features from Image and Text This repo aims at providing an easy to use and efficient code for extracting image &

Jianjie(JJ) Luo 13 Jan 06, 2023
Exploration of BERT-based models on twitter sentiment classifications

twitter-sentiment-analysis Explore the relationship between twitter sentiment of Tesla and its stock price/return. Explore the effect of different BER

Sammy Cui 2 Oct 02, 2022