Contains descriptions and code of the mini-projects developed in various programming languages

Overview

TexttoSpeechAndLanguageTranslator-project

introduction

A pleasant application where the client will be given buttons like play,reset and exit. The client can enter the content which he/she needs tochange over into a speech or System generated voice.The Application takes contribution from the client and converts the accompanying content to speech or PC generated voice with the assistance of a button called play. A reset button and Exit button arelikewise given to the client to reset the application or to leave the application.The Tkinter GUI framework in python is utilized to make the design andlayout of the application.

create framework

To introduce necessary modules, use pip command. Bringing the modules. showcasing the GUI window (Tkinter). Characterizing the capacities.

➢ Import Libraries • Start by bringing in the libraries, tkinter, playsound, gTTS

Introducing window:

  • Tk() to introduced tkinter which will be utilized for GUI
  • geometry() used to set the width and stature of the window
  • configure() used to get to window ascribes
  • bg will used to set the shade of the foundation
  • title() set the title of the window
  • Label() widget is utilized to show at least one than one line of text that clients can't ready to adjust.
  • module is the name which we allude to our window
  • text which we show on the mark
  • font in which the content is composed
  • pack organized gadget in block
  • result is a string type variable
  • Entry() used to make an information text field wrap = WORD will stop the line after the final word that will fit.
  • place() organizes gadgets by setting them in a particular situation in the parent gadget
  • Message variable will stores the estimation of entry_field
  • text is the sentences or text to be perused.
  • lang takes the language to peruse the content. The default language is English.
  • speech stores the changed over voice from the content
  • speech.save('ADARSH.mp3') will saves the changed over record as adarsh as mp3 document
  • playsound() used to play the sound
  • Characterize Combobox to choose the language language gets all the qualities from the 'Dialects' word reference as a rundown. ttk.Combobox() gadget is a class of ttk modules. It is a drop-down list, which can hold multi- worth and show each thing in turn. Combobox is helpful to choose one alternative from numerous choice.

Characterize Function to translate. The Translate capacity will interpret the message and give the yield. src gets the language chosen as information text language dest gets the language select to decipher text gets the information text entered by the user."1.0′′ implies that the info ought to be perused from zero characters to line one The END part intends to peruse the content until the end is reached translator = Translator() used to make a Translator class object Output_text.delete(1.0, END) erase all the content from line one to end Output_text.insert (END, translated.text) will embed the deciphered content in Output_text Make an translate button At the point when we click on the Translate button it will call the decipher work button() gadget used to show button on our window command is called when we click the button activebackground sets the foundation tone to utilize when the catch is dynamic

Function to Exit: module.destroy() will quit the program by halting the mainloop().

Function to Reset: Reset function set Msg variable to purge strings.

Characterize Buttons: Button() widget used to show button on the window module.mainloop() is a technique that executes when we need to run our program.

System Design

  1. The programming language to be used is Python.
  2. The python framework tkinter gui will be used to implement a graphical interface. The application requires the client to enter a text .Then he/she must click on the play button which converts the text to a pc generated voice . In this content TTS converter application ,client's are furnished with a choice to enter the necessary content that client needs to change over to a voice,i.e 'ENTER TEXT' Client's will likewise be furnished with choices, for example, 'play' , 'rest', 'exit' .which will permit the client to play the content or reset the content or leave the application. This application additionally permit clients to change over the information text of any language into any ideal language by tapping on button 'TRANSLATE' which makes it not the same as the remainder of tts converter applications . Background interface will be rendered using tkinter using various in­built python modules

FEATURES:

• Customizable speech­specific sentence tokenizer that allows for unlimited lengths of text to be read, all while keeping proper intonation, abbreviations, decimals and more; • Customizable text pre­processors which can, for example, provide pronunciation corrections.

Owner
Adarsh Reddy
- 👋 Hi, I’m Adarsh reddy - 👀 I’m interested in problem solving and coding - 🌱 I’m currently learning DSA ,PYTHON,Data Science
Adarsh Reddy
Google and Stanford University released a new pre-trained model called ELECTRA

Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compared to BERT and its variants. For furth

Yiming Cui 1.2k Dec 30, 2022
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch

nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank li

Tae-Hwan Jung 11.9k Jan 08, 2023
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Deepvoice3_pytorch PyTorch implementation of convolutional networks-based text-to-speech synthesis models: arXiv:1710.07654: Deep Voice 3: Scaling Tex

Ryuichi Yamamoto 1.8k Dec 30, 2022
ASCEND Chinese-English code-switching dataset

ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong.

CAiRE 11 Dec 09, 2022
Fastseq 基于ONNXRUNTIME的文本生成加速框架

Fastseq 基于ONNXRUNTIME的文本生成加速框架

Jun Gao 9 Nov 09, 2021
2021 2학기 데이터크롤링 기말프로젝트

공지 주제 웹 크롤링을 이용한 취업 공고 스케줄러 스케줄 주제 정하기 코딩하기 핵심 코드 설명 + 피피티 구조 구상 // 12/4 토 피피티 + 스크립트(대본) 제작 + 녹화 // ~ 12/10 ~ 12/11 금~토 영상 편집 // ~12/11 토 웹크롤러 사람인_평균

Choi Eun Jeong 2 Aug 16, 2022
C.J. Hutto 3.8k Dec 30, 2022
Pre-Training with Whole Word Masking for Chinese BERT

Pre-Training with Whole Word Masking for Chinese BERT

Yiming Cui 7.7k Dec 31, 2022
a test times augmentation toolkit based on paddle2.0.

Patta Image Test Time Augmentation with Paddle2.0! Input | # input batch of images / / /|\ \ \ # apply

AgentMaker 110 Dec 03, 2022
KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.

KoBERTopic 모델 소개 KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정했습니다. 기존 BERTopic : https://github.com/MaartenGr/BERTopic/tree/05a6790b21009d

Won Joon Yoo 26 Jan 03, 2023
This repository contains data used in the NAACL 2021 Paper - Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems

Proteno This is the data release associated with the corresponding NAACL 2021 Paper - Proteno: Text Normalization with Limited Data for Fast Deploymen

37 Dec 04, 2022
The code from the whylogs workshop in DataTalks.Club on 29 March 2022

whylogs Workshop The code from the whylogs workshop in DataTalks.Club on 29 March 2022 whylogs - The open source standard for data logging (Don't forg

DataTalksClub 12 Sep 05, 2022
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates

GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates Vibhor Agarwal, Sagar Joglekar, Anthony P. Young an

Vibhor Agarwal 2 Jun 30, 2022
Code for paper "Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features"

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features Train python main.py --dataset brazil-flights C

wang zhang 0 Jun 28, 2022
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation

Salesforce 564 Jan 08, 2023
Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets

Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets What is LASSL • How to Use What is LASSL LASSL은 LAnguage Semi-Super

LASSL: LAnguage Self-Supervised Learning 116 Dec 27, 2022
NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking

pretrain4ir_tutorial NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking 用作NLPIR实验室, Pre-training

ZYMa 12 Apr 07, 2022
⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

BERT-of-Theseus Code for paper "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing". BERT-of-Theseus is a new compressed BERT by progre

Kevin Canwen Xu 284 Nov 25, 2022
Multi Task Vision and Language

12-in-1: Multi-Task Vision and Language Representation Learning Please cite the following if you use this code. Code and pre-trained models for 12-in-

Meta Research 711 Jan 08, 2023
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0 🤗 Transformers provides thousands of pretrained models to perform tasks o

Hugging Face 77.3k Jan 03, 2023