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Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study. [PDF]
JMIR AgingAmbrosini E +13 more
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Machine Learning-Based Prediction Models for Cognitive Decline Progression: A Comparative Study in Multilingual Settings Using Speech Analysis. [PDF]
JAR LifeCeyhan B, Bek S, Önal-Süzek T.
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Speech analysis and depression
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016In this paper, the correlation between the speech features of the vowel /a/ and depression severity was investigated, so as to derive a depression severity meter mobile application that can accurately detect depression quantitatively. Results showed a correlation between depression severity and speech features, and an application prototype was created ...
Tan Tze Ern Shannon +2 more
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Phonetic Speech Analysis for Speech to Text Conversion
2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems, 2008This paper presents a description of the work done on phonetic speech analysis. The work aims in generating phonetic codes of the uttered speech in training-less, human independent manner. This work is guided by the working of ear in response to audio signals. The Devnagri script inspires the work presented. The Devnagari script classifies and arranges
Abhijit V. Bapat, Lalit K. Nagalkar
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Speech babble: Analysis and modeling for speech systems
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008Speech babble represents the most challenging noise interference in all speech systems, yet no research has been performed at a systematic level to model the underlying structure. For the first time, this study establishes a working foundation for the analysis and modeling of babble speech.
Nitish Krishnamurthy, John H. L. Hansen
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Interspeech 2012, 2012
In this paper, mimicry speech is analysed using features at suprasegmental, segmental and subsegmental levels. The possibility of the imitator getting close at each of these levels is examined here. The imitator cannot duplicate all features of the target, as imitation depends on the target speaker, utterance chosen, and his ability to imitate.
D. Gomathi +3 more
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In this paper, mimicry speech is analysed using features at suprasegmental, segmental and subsegmental levels. The possibility of the imitator getting close at each of these levels is examined here. The imitator cannot duplicate all features of the target, as imitation depends on the target speaker, utterance chosen, and his ability to imitate.
D. Gomathi +3 more
openaire +1 more source