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Aligning lyrics to audio has a wide range of applications such as the automatic generation of karaoke scores, song-browsing by lyrics, and the generation of audio thumbnails. Existing methods are restricted to using only lyrics and match them to phoneme features extracted from the audio (usually mel-frequency cepstral coefficients). Our novel idea is to integrate the textual chord information provided...
This paper presents novel feature-group for on-line speech/music segmentation for broadcast news domain. The features are based on mel-frequency cepstral coefficients variance (MFCCV). The idea behind the feature-group construction is the energy variation in a narrow frequency sub-band. The variation is bigger for speech than for music. For feature discrimination and segmentation ability evaluation...
An audio classifier that can distinguish between speech, music, silence and garbage has been developed. The classifier was trained and tested on broadcast news material provided by VRT (Flemish Radio and Television Network). Several feature sets and machine learning algorithms have been tested, providing choices of speed and performance for a target system. The audio classifier is part of a greater...
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