Search Results for "speech processing"

CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 6 languages, Arabic, Chinese, English, French, German, and Spanish. The centerpiece of CoreNLP is the pipeline. Pipelines take in raw text...

The real java implementation of ict. The word segmentation effect is faster than the open source version of ict. Chinese word segmentation, name recognition, part-of-speech tagging, user-defined dictionary. This is a java implementation of Chinese word segmentation based on n-Gram+CRF+HMM. The word segmentation speed reaches about 2 million words per second (tested under mac air), and the accuracy rate can reach more than 96%. At present, it has realized the functions of Chinese word...

Benkyou Studio is intended to be a One-stop integrated solution for working and learning with languages, For the Learner, it has flashcards,A multi choice Quiz which remembers and adjusts to the words you are struggling with, Speech Synthesis helps you hear the words as you study, you can even export the wordlist to sound files for your portable music player For the Professional, it has unicode lookup and converters, a character map viewer and exporter, a text file converter...

SetFon focus is an interface web based for Praat resources (www.praat.org) wich focus speech sound annalysis; it is a gerent program for acoustic analysis PHP/Mysql based. Developed with the framework SIMP.

This is a software of Arabic diacritical marks restoration. It is based mainly on deep architectures using deep neural network. The algorithm generates diacritized text with determined end case. The algorithm is described in detail in: Ilyes Rebai, and Yassine BenAyed 'Text-to-speech synthesis system with Arabic diacritic recognition system', Computer Speech & Language, 2015. We appreciate it very much if you can cite our related work. ************** Installation...

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...

This software is to help type in text from speech recordings. It has several functions proven to help this type of work. However it is fully manual (aside from auto-completion), so no speech recognition if you are looking for that, but it is a great tool to do the job.

DPRK pull is a script that pulls the English language North Korean news articles from the KCNA website and puts them into one file for reading by a Text to Speech program.

Voice is a text to speech program with many features. Some of the features include: Reads Text, Rich Text and Word Documents aloud. Custom greeting. Professional document editor. Clipboard monitoring and processing. Good looking animated character.

Concrete Voice is a text to speech program. It can read the time, anounce weather, read text file, save text files to audio files, open any text file (supports all text encoding formats) and many more advance stuff!

Auvai is a Java API and Java Swing based application for Text to Speech conversion of Unicode Tamil. Future direction of this API and application is to support Text to Speech conversion for all "Indic" languages.

Automatically translate english/french/german text to german/french/english text and output speech in appropriate language. All Automagically with the power of the inter-webs.

Linguistics tool, mainly for discourse analysis. Trans-Scribe will provide users with an interface for transcribing .wav audio speech files in any language and creating documents that display, publish, or export the waveform along with transcriptions.