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Acoustic Features and Modelling
2015This chapter gives an overview of the methods for speech and music analysis implemented by the author in the openSMILE toolkit. The methods described, include all the relevant processing steps from an audio signal to a classification result. These steps include pre-processing and segmentation of the input, feature extraction (i.e., computation of ...
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Acoustic Features for the Identification of Coronary Artery Disease
IEEE Transactions on Biomedical Engineering, 2015Earlier studies have documented that coronary artery disease (CAD) produces weak murmurs, which might be detected through analysis of heart sounds. An electronic stethoscope with a digital signal processing unit could be a low cost and easily applied method for diagnosis of CAD.
Samuel Emil Schmidt +4 more
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Long Range Acoustic Features for Spoofed Speech Detection
Interspeech, 2019Speaker verification systems in practice are vulnerable to spoofing attacks. The high quality recording and playback devices make replay attack a real threat to speaker verification.
Rohan Kumar Das +2 more
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DNN-based Emotion Recognition Based on Bottleneck Acoustic Features and Lexical Features
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019In this paper, we propose a novel emotion recognition method to reflect affect salient information using acoustic and lexical features. The acoustic features are extracted from the speech signal by applying statistical functionals of emotionally high ...
Eesung Kim, Jong Won Shin
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Improvement of Speaker Identification by Combining Prosodic Features with Acoustic Features
2004In this paper, we study prosodic features derived from pitch parameters to improve the performance of speaker identification (SID) system In order to deal with the problem of missing pitch in telephone speech, we use pitch estimation for each frame, even in unvoiced regions After silence frames removal, we also improve prosodic modeling by a weighting ...
Rong Zheng 0005, Shuwu Zhang, Bo Xu 0002
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Music genre classification based on auditory image, spectral and acoustic features
Multimedia Systems, 2022Xin Cai, Hong-Juan Zhang
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Machine learning approach for classification of Parkinson disease using acoustic features
Journal of Reliable Intelligent Environments, 2021Vikas Mittal, R. Sharma
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Acoustic feature diversity and speaker verification
Interspeech 2010, 2010R. Padmanabhan, Hema A. Murthy
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