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PERCEPTUALLY ENHANCED SINGLE FREQUENCY FILTERING FOR DYSARTHRIC SPEECH DETECTION AND INTELLIGIBILITY ASSESSMENT

Citation Author(s):
Krishna Gurugubelli, Anil Kumar Vuppala
Submitted by:
krishna gurugubelli
Last updated:
7 May 2019 - 2:10pm
Document Type:
Poster
Document Year:
2019
Event:
Presenters:
Anil Kumar Vuppala
Paper Code:
3013
 

This paper proposes a new speech feature representation that improves the intelligibility assessment of dysarthric speech. The formulation of the feature set is motivated from the human auditory perception and high time-frequency resolution property of single frequency filtering (SFF) technique. The proposed features are named as perceptually enhanced single frequency cepstral coefficients (PESFCC). As a part of SFF technique implementation, speech signal passed through a single pole complex bandpass filter bank to obtain high-resolution time-frequency distribution. Then, the distribution is enhanced by using a set of auditory perceptual operators. Lastly, traditional homomorphic analysis has been carried out on the resulting signal to obtain PE-SFCC feature vector. The performance of proposed features in dysarthric speech detection and its intelligibility assessment has been reported on UASPEECH database. The PE-SFCC features outperformed the state-of-the-art features in dysarthric speech detection and intelligibility assessment.

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