Showing 5 open source projects for "signal processing"

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  • 1

    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: 3 This Week
    Last Update:
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  • 2

    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: 2 This Week
    Last Update:
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  • 3

    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: 0 This Week
    Last Update:
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  • 4
    Software for speech research. It includes programs and libraries for signal processing, along with general purpose scientific libraries. Most of the code is in Python, with C/C++ supporting code. Also, contains code releases corresponding to publishe
    Downloads: 2 This Week
    Last Update:
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  • 5
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g.
    Downloads: 0 This Week
    Last Update:
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