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ARTIFICIALLY SYNTHESISING DATA FOR AUDIO CLASSIFICATION ...

    https://sigport.org/documents/artificially-synthesising-data-audio-classification-and-segmentation-improve-speech-and#:~:text=Abstract%3A%20Segmenting%20audio%20into%20homogeneous%20sections%20such%20as,modify%20audio%20recordings%2C%20radio%20broadcasts%20and%20TV%20programmes.
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(PDF) Speech and music classification in audio documents

    https://www.researchgate.net/publication/228548255_Speech_and_music_classification_in_audio_documents
    Speech/music classification is an integral part of various consumer electronics applications such as audio codecs, multimedia document indexing, and …

(PDF) Speech and music classification in audio …

    https://www.academia.edu/4330778/Speech_and_music_classification_in_audio_documents
    The precision of the speech classification (accuracy) (2) is The Speech model is trained from signal containing audible excellent: 99.5%. speech (i.e. pure or mixed with music when it does not For the music, the rate of delays lower than 20 cs is damage too much speech or mixed with noise such as 91 % and the accuracy is 93 %.

(PDF) Robust speech / music classification in audio …

    https://www.researchgate.net/publication/221479493_Robust_speech_music_classification_in_audio_documents
    PDF | On Jan 1, 2002, Julien Pinquier and others published Robust speech / music classification in audio documents. | Find, read and cite all the research you need on ResearchGate

Robust speech / music classification in audio documents

    https://www.academia.edu/4330775/Robust_speech_music_classification_in_audio_documents
    ROBUST SPEECH / MUSIC CLASSIFICATION IN AUDIO DOCUMENTS ´ Julien PINQUIER, Jean-Luc ROUAS and R´egine ANDRE-OBRECHT Institut de Recherche en Informatique de Toulouse, UMR 5505 CNRS INP UPS 118, route de Narbonne, 31062 Toulouse cedex 04, FRANCE pinquier, rouas, obrecht @irit.fr ABSTRACT used to separate voiced speech from noisy sounds [4], [5] This …

Robust speech / music classification in audio documents

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.653.4176
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper deals with a novel approach to speech / music segmentation. Three original features, entropy modulation, stationary segment duration and number of segments are extracted. They are merged with the classical 4Hz modula-tion energy. The relevance of these features is studied in a first …

CiteSeerX — Robust speech / music classification in …

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.6868
    In this paper, we explore such a prior partitioning which consists in detect the two basic components, which are speech and music components. The originality of this work is that music and speech are not considered as two classes and two classification systems are independently defined, a speech/non-speech one and a music/non-music one.

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