Showing 13 open source projects for "audio engineering"

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  • 1
    Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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    Downloads: 10 This Week
    Last Update:
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  • 2
    Cheetah

    Cheetah

    AI macOS app for real-time coding interview coaching assistance

    Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts.
    Downloads: 0 This Week
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  • 3

    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: 1 This Week
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  • 4
    General C++ Library, with modules for Computer Vision, Pattern Recognition and much more.
    Downloads: 0 This Week
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  • 5

    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
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  • 6
    JuliusModels

    JuliusModels

    Open source speech models for Julius in English and other languages.

    Open source speech models for Julius speech decoder. Its aim is to give access a wider community of speech recognition enthusiasts to quality models, which they can use in their own projects on different OS platforms (Unix, Windows, etc...) All of the models are based on HTK modelling software and data sets available freely on the Internet.
    Downloads: 2 This Week
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  • 7

    Distant Speech Recognition

    Beamforming and Speech Recognition Toolkit

    BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and...
    Downloads: 0 This Week
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  • 8

    Accelerated Feature Extraction Tool

    A fast GPU accelerated feature extraction software for speech analysis

    A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. The output files are stored in HTK format. The software is developed at Department of...
    Downloads: 0 This Week
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  • 9
    Cotovía

    Cotovía

    Text-to-Speech System for Galician and Spanish

    Cotovía is a unit-selection text-to-speech system for Galician and Spanish. Cotovía is distributed under the GPL3.0+ license, but each of the avaliable speaker voices has its own license. The speakers available at sourceforge are free for commercial and non-commercial uses. Another speaker, free for non-commercial uses, is avaliable through external links (see the Blog section). Cotovia has been developed by the University de Vigo and the center 'Ramón Piñeiro' for Research in Humanities,...
    Downloads: 15 This Week
    Last Update:
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  • 10
    SMILE = Speech & Music Interpretation by Large Space Extraction openSMILE is a fast, real-time (audio) feature extraction utility for automatic speech, music and paralinguistic recognition research developed originally at TUM in the scope of the EU-project SEMAINE, now maintained and supported by audEERING.
    Downloads: 1 This Week
    Last Update:
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  • 11
    openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.
    Downloads: 4 This Week
    Last Update:
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  • 12
    Easy-to-use platform-independent plugin API for the extraction of low-level features from audio data in PCM format, as required in the context of music information retrieval software.
    Downloads: 0 This Week
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  • 13
    EBBA is a project aiming to develop an advanced chatbot by combining AIML, 3d facial expressions, speech synthesizer, speech recognition and an iq-test solving functionality.
    Downloads: 0 This Week
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