Search Results for "speech processing" - Page 6
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Showing 138 open source projects for "speech processing"
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The open source, multimodal interactive "Sensitive Artificial Listener" dialogue system created by the EU project SEMAINE.
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Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
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POS Tagger , Part of speech tagger, Hidden Markov Model , written with C#. Natural language Processing .
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This project'll be the core engine of many voice based platforms,which can be implemented into your projects,websites...etc to provide an Arabic speech service, where your servers can interact with the clients through Arabic Speech Recognition.
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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!
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Matsig is an object-oriented signal class library (Toolbox in MATLAB lingo) for MATLAB 6.5 and later. It implements a signal class, simplifying operations and manipulations common in audio signal processing and speech processing.
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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.
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JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker).
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The MRCPv2 protocol is designed to allow client devices to control media processing resources, such as speech recognition engines. MRCP4J provides a Java API that encapsulates the MRCPv2 protocol and can be used to implement MRCP clients and/or servers.
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AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
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The Open Mind Speech project is part of the Open Mind Initiative and aims to develop free(GPL) speech recognition and signal processing (DSP) tools and applications, as well as collect speech data from "e-citizens" using the Internet.
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Grok is a library of natural language processing components, including support for parsing with categorial grammars and various preprocessing tasks such as part-of-speech tagging, sentence detection, and tokenization.
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mms-300m-1130-forced-aligner
CTC-based forced aligner for audio-text in 158 languages
...Users can integrate it easily through the Python package ctc-forced-aligner, and it supports GPU acceleration via PyTorch. The alignment pipeline includes audio processing, emission generation, tokenization, and span detection, making it suitable for speech analysis, transcription syncing, and dataset creation. This model is especially useful for researchers and developers working with low-resource languages or building multilingual speech systems.
