Showing 7 open source projects for "processing"

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  • 1
    SPTK is a suite of speech signal processing tools for UNIX environments, e.g., LPC analysis, PARCOR analysis, LSP analysis, PARCOR synthesis filter, LSP synthesis filter, vector quantization techniques, and other extended versions of them.
    Downloads: 22 This Week
    Last Update:
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  • 2

    AhoTTS - TTS for Basque and Spanish

    Text-to-Speech for Basque and Spanish

    Text-to-Speech conversor for Basque and Spanish. It includes linguistic processing and built voices for the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory: https://aholab.ehu.es/aholab/ http://aholab.ehu.es/ahocoder/
    Downloads: 0 This Week
    Last Update:
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  • 3

    AhoTTS Multilingual, a Multilingual TTS

    Text-to-Speech TTS for Basque, Spanish, Catalan, Galician and English

    Text-to-Speech conversor for Basque, Spanish, Catalan, Galician and English. It includes linguistic processing and built voices for all the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory: https://aholab.ehu.es/aholab/ http://aholab.ehu.es/ahocoder/
    Downloads: 0 This Week
    Last Update:
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  • 4

    AhoTTS Iparrahotsa

    TTS for Basque Lapurdian dialect

    AhoTTS Iparrahotsa is the TTS developed at the Aholab Signal Processing Laboratory of the University of the Basque Country (UPV/EHU) for the Lapurdian dialect of Basque. This dialect is spoken at the Northern area of the Basque speaking area (French region). This project was funded by the Euroregion Aquitaine-Euskadi under grant EUSKADI-2012-004.
    Downloads: 2 This Week
    Last Update:
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  • 5
    de-ess

    de-ess

    De-essing software to reduce sibilance in speech using TSP

    This de-esser uses a novel approach called Temporal Sibilance Processing. The idea is to distinguish between fricatives and voiced sections of the speech signal by the number of zero crossings in time. Most of the speech file is left untouched (the samples are directly copied from source to destination). Only fricatives that are long enough and loud enough are filtered. The advantage of this approach over traditional approaches is that the clarity of the remaining speech is completely unaffected.
    Downloads: 0 This Week
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  • 6
    Advanced Speech Signal Analysis library provides a structure to handle various file formats and a variety of analysis functions commonly used in speech processing.
    Downloads: 0 This Week
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  • 7
    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.
    Downloads: 0 This Week
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