SDASQMOct 2, 2021

Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement

arXiv:2110.00794v1
Originality Synthesis-oriented
AI Analysis

This work addresses speech intelligibility issues for individuals with CLP, but it is incremental as it builds on existing phoneme-specific methods.

The paper tackled the problem of enhancing word-level intelligibility in cleft lip and palate (CLP) speech by combining phoneme-specific enhancement approaches, resulting in improved speech samples as evaluated by subjective and objective metrics.

The cleft lip and palate (CLP) speech intelligibility is distorted due to the deformation in their articulatory system. For addressing the same, a few previous works perform phoneme specific modification in CLP speech. In CLP speech, both the articulation error and the nasalization distorts the intelligibility of a word. Consequently, modification of a specific phoneme may not always yield in enhanced entire word-level intelligibility. For such cases, it is important to identify and isolate the phoneme specific error based on the knowledge of acoustic events. Accordingly, the phoneme specific error modification algorithms can be exploited for transforming the specified errors and enhance the word-level intelligibility. Motivated by that, in this work, we combine some of salient phoneme specific enhancement approaches and demonstrate their effectiveness in improving the word-level intelligibility of CLP speech. The enhanced speech samples are evaluated using subjective and objective evaluation metrics.

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