Search Results for "marathi text to speech" - Page 3
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Showing 72 open source projects for "marathi text to speech"
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JAVT - Just Another Voice Transformer
Just Another Speech Recognition and Text to Speech software.
JAVT or Just Another Voice Transformer (formerly, it is called Just Another Video Transcriber) is a Speech Recognition software that also support text to Speech and simple media conversion. JAVT allows you to convert from video files to audio wav file using ffmpeg, and then transcribe the audio file to text using either Microsoft SAPI or CMU Sphinx. You can also open a text file and allow JAVT to read it out for you through text to speech conversion. -
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vinuxproject
Vinux is an Ubuntu derived distribution for blind & visually impaired.
Vinux supports software text to speech and Braille support from boot-up to shutdown. Users can use installation medium to install independently with no sighted assistance required. Vinux supports command line environment speech, Desktop environment speech and magnification features. Vinux comes with an accessible suite of software and has an excellent mailing list support group. -
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Part-of-speech tagging is the task of assigning symbols from a particular set to words in a natural language text. ACOPOST implements and extends well-known machine learning techniques and provides a uniform environment for testing.
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Pootle, Virtaal & Translate Toolkit
Localization tools built by localizers for localizers
Tools for localization: - Pootle: web based translation management system. - Virtaal: Computer Aided Translation (CAT) tool. - Translate Toolkit: QA, format conversion and support (PO, Java .properties, OpenOffice, Mozilla, XLIFF, TMX, TBX, CSV, Qt .ts). -
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TextBlob
TextBlob is a Python library for processing textual data
Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Supports word inflection (pluralization and singularization) and lemmatization... -
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Steel TTS
A cross-platform wrapper for common text-to-speech engines in Python
Steel is a cross-platform package for using common text-to-speech (speech synthesis) engines in Python. Steel currently supports the following TTS software: - Microsoft Speech API 5 (SAPI5) - eSpeak - NS Speech Synthesis - FreeTTS Documentation: http://sourceforge.net/p/steeltts/wiki/ Bug Tracker: http://sourceforge.net/p/steeltts/tickets/ If you are interested in contributing to the Steel TTS codebase, or would like to make a feature-request, please contact the lead... -
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AarTon is an automated text-to-speech application. It allows user to enter text in a web-based front-end and render these texts via a multi-channel sound card.
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VoiceCode is an Open Source initiative started by the National Research Council of Canada, to develop a programming by voice toolbox. The aim of the project is to make programming through voice input as easy and productive as with mouse and keyboard. For install, Use subversion, as described in this page: http://sourceforge.net/apps/mediawiki/voicecode/index.php?title=VCode_1_Doc/InstallationManual.
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Speect is a multilingual TTS system. It offers a full text-to-speech system with various API's, as well as an environment for research and development of TTS systems and voices. It is written in ANSI C and uses a plug-in mechanism for extensions. Speect also includes an extensive set of Python bindings for quick implementation of new ideas, these bindings are derived from SWIG interface files and can easily be extended for other languages supported by SWIG. Speect is free and open source...
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YABT is a context sensative string manipulation library. YABT currently can be used for Braille translation, but it is possible to put it to other uses such as preparation of text to be spoken by speech synthesisers.
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PowerTalk automatically speaks Microsoft PowerPoint presentations. For presenters who find speaking difficult, audiences containing people with visual impairments and fun educational uses. Uses synthesised computer speech provided with Windows
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A program for school children to practice mental calculation. The output can be text or spoken using text to speech.
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Pythia is a natural language question answering system, which uses Speech Recognition and Text To Speech technologies to communicate with the user.
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A book reader for the symbian s60 platform mainly for speech users who can't use the available book readers. Currently works with text files.
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uListen is a TTS(Text To Speech) application. It can TALK you the web pages, chm files, pdf files and word files and plain text files.
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A simple software that speaks a text. You can type the text or appoint a file. Fala is just a frontend to festival. It's designed for GNOME, but if you have gtk, pyhton and festival you are able to run it.
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Voice Conference Manager uses VoiceXML and CCXML to control speech recognition, text to speech, and voice biometrics for a telephone conference service. Say the names or numbers of people and VCM places them into the call. Can be hosted on public servers
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Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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DJBorg turns your MP3 playlist into a personalized radio station, adding randomly-generated DJ banter between tracks. Song information (based on ID3 tags), news, weather, and headlines are announced via a text-to-speech engine.
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The PyGE (Python Gutenberg E-text) project is a suite of GUI desktop utilities written in Python to promote and facilitate awareness and enjoyment of works of literature that are available from the archives of Project Gutenberg.
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Sayz Me is a text-to-speech application for Windows. Text can be typed in or read from clipboard. Words are highlighted when spoken. Select voice, adjust reading speed, voice pitch, font and color. Simple and easy to use.
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Moshi
A speech-text foundation model for real time dialogue
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps). Moshi models two streams of audio: one corresponds to Moshi...