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USING ENHANCED F0-TRAJECTORIES FOR multiple speaker detection IN AUDIO MONITORING SCENARIOS 23

USING ENHANCED F0-TRAJECTORIES FOR MULTIPLE SPEAKER DETECTIO...

引用

23rd European Signal Processing Conference (EUSIPCO)

作者： Cornaggia-Urrigshardt, Alessia Kurth, Frank Fraunhofer FKIE Commun Syst Fraunhoferstr 20 D-53343 Wachtberg Germany

ISBN: (纸本)9780992862633

We propose to use enhanced EO-trajectories, which are extracted using shift-autocorrelation (shift-ACF), for multiple speaker detection in audio monitoring scenarios. After introducing spectral shift-ACF features, their performance in multiple F0-extraction in the presence of different noise types is estimated for synthetic signal scenarios. Afterwards, a novel method for F0-supertrajectory extraction is proposed and evaluated for multiple speaker detection in the presence of background noises that typically occur in audio monitoring. It turns out that due to their improved sharpness in representing harmonic components, spectral shift-ACF features outperform classical features in many cases.

关键词： multiple speaker detection Audio Monitoring F0-Trajectories Shift-ACF

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USING ENHANCED F0-TRAJECTORIES FOR multiple speaker detection IN AUDIO MONITORING SCENARIOS

USING ENHANCED F0-TRAJECTORIES FOR MULTIPLE SPEAKER DETECTIO...

引用

European Signal Processing Conference

作者： Alessia Cornaggia-Urrigshardt Frank Kurth Fraunhofer FKIE Communication Systems

ISBN: (纸本)9781479988518

We propose to use enhanced F0-trajectories, which are extracted using shift-autocorrelation (shift-ACF), for multiple speaker detection in audio monitoring scenarios. After introducing spectral shift-ACF features, their performance in multiple F0-extraction in the presence of different noise types is estimated for synthetic signal scenarios. Afterwards, a novel method for F0-supertrajectory extraction is proposed and evaluated for multiple speaker detection in the presence of background noises that typically occur in audio monitoring. It turns out that due to their improved sharpness in representing harmonic components, spectral shift-ACF features outperform classical features in many cases.

关键词： multiple speaker detection Audio Mon-itoring F0-Trajectories Shift-ACF Loudspeakers Audio noise type indium BACKGROUND NOISE

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ONLINE UNSUPERVISED OVERLAPPING speaker detection USING ENHANCED CLASSIFICATION HISTORY-BASED FEATURES 14

ONLINE UNSUPERVISED OVERLAPPING SPEAKER DETECTION USING ENHA...

引用

14th International Workshop on Acoustic Signal Enhancement (IWAENC)

作者： Oualil, Youssef Toroghi, Rahil Mahdian Klakow, Dietrich Univ Saarland Spoken Language Syst D-66123 Saarbrucken Germany

ISBN: (纸本)9781479968084

Overlapping speaker localization approaches generally require a binary detector which performs the source/noise classification of the location estimates. This is mainly due to the unknown time-varying number of sources, and to the presence of noise and reverberation. In this paper, we firstly introduce an online implementation of a previously developed offline multiple speaker detector. This classifier is then extended to include new detection features. More precisely, the proposed approach uses the classified location estimates as labelled data to train new classification models for different potential features. The resulting models are then integrated into the online classifier to improve the classification performance. In particular, this paper investigates three different classification history-based models, namely, the location, the kurtosis and the probabilistic steered response power features. Experiments conducted on the AV16.3 corpus show the effectiveness of the proposed approach.

关键词： multiple speaker detection unsupervised Bayesian classifier steered response power

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