3 accepted papers
Detecting depression from the voice in naturalistic environments is challenging, particularly for short-duration audio recordings. This enhances the need to interpret and make optimal use of elicited speech. The rapid consonant-vowel syllable combination ‘pataka’ has frequently been selected as a cl…
Depression detection from speech continues to attract significant research attention but remains a major challenge, particularly when the speech is acquired from diverse smartphones in natural environments. Analysis methods based on vocal tract coordination have shown great promise in depression and…
Detection of depression from speech has attracted significant research attention in recent years but remains a challenge, particularly for speech from diverse smartphones in natural environments. This paper proposes two sets of novel features based on speech landmark bigrams associated with abrupt s…