Analysis of laughter and speech-laugh signals using excitation source information

Dumpala, Sri Harsha; Sridaran, Karthik Venkat; Gangashetty, Suryakanth V.; Yegnanarayana, B.

doi:10.1109/icassp.2014.6853742

Cited by 17 publications

(11 citation statements)

References 7 publications

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“…No clear answer has been given concerning this aspect of amused speech, although Trouvain rejected the hypothesis of a smile-laughter continuum [43]. Dumpala et al found that f0 was higher in laughter than in speech-laughs and higher in speech-laughs than in neutral speech [9].…”

Section: Smiled Speechmentioning

confidence: 99%

“…There has been very little work on synthesis and recognition of speech-laughs and smiled speech. Dumpala et al [9] present a speech-laugh/laughter discrimination system. Oh and Wang [35] tried real-time modulation of neutral speech to make it closer to speech-laughs, based on the variation of characteristics such as pitch, rhythm and tempo.…”

Section: Smiled Speechmentioning

confidence: 99%

See 1 more Smart Citation

Introducing AmuS: The Amused Speech Database

Haddad

Torre

Gilmartin

et al. 2017

Statistical Language and Speech Processing

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In this paper we present the AmuS database of about three hours worth of data related to amused speech recorded from two males and one female subjects and contains data in two languages French and English. We review previous work on smiled speech and speech-laughs. We describe acoustic analysis on part of our database, and a perception test comparing speech-laughs with smiled and neutral speech. We show the efficiency of the data in AmuS for synthesis of amused speech by training HMM-based models for neutral and smiled speech for each voice and comparing them using an on-line CMOS test.

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Section: Smiled Speechmentioning

confidence: 99%

Section: Smiled Speechmentioning

confidence: 99%

Introducing AmuS: The Amused Speech Database

Haddad

Torre

Gilmartin

et al. 2017

Statistical Language and Speech Processing

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“…Speech-laugh (SL) refers to the segments of speech, where laughter co-occurs with neutral speech [16], [17]. Speech-laugh exhibits characteristics of both laughter and neutral speech, but it is very distinct from both, laughter and neutral speech [12], [17], [18]. Hence, speech-laugh forms a separate class, which carries both, linguistic and non-linguistic information [18].…”

Section: Background and Proposed Approachmentioning

confidence: 99%

Analysis of the Effect of Speech-Laugh on Speaker Recognition System

2018

Self Cite

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A robust speaker recognition system should be able to recognize a speaker despite all the possible variations in speaker's speech. A common variation of the neutral speech is speechlaugh, which occurs when a person is speaking and laughing, simultaneously. In this paper, we show that speech-laugh significantly degrades the performance of an i-vector based speaker recognition system. Further, we show that laughter and neutral speech contain complementary speaker information, which can be combined to improve the performance of the speaker recognition system for speech-laugh scenarios. Using AMI meeting corpus database, we show that by including neutral speech and laughter in enrollment phase, the performance of the system in the speech-laugh scenarios can be relatively improved by 36% in EER.

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“…Studies were also made comparing speech-laughs and isolated laughter. Dumpala proposed a feature extraction and comparison successfully discriminating between laughter and speech-laughs [3]. In [4], Menezes exposed an acoustic comparison (formant frequency values and pitch) between neutral speech, speech-laughs and laughter.…”

Section: Introductionmentioning

confidence: 99%

Breath and repeat: An attempt at enhancing speech-laugh synthesis quality

Haddad

Çakmak

Dupont

et al. 2015

2015 23rd European Signal Processing Conference (EUSIPCO)

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In this work, we present a study dedicated to improve the speech-laugh synthesis quality. The impact of two factors is evaluated. The first factor is the addition of breath intake sounds after laughter bursts in speech. The second is the repetition of the word interrupted by laughs in the speechlaugh sentences. Several configurations are evaluated through subjective perceptual tests. We report an improvement of the synthesized speech-laugh naturalness when the breath intake sounds are added. We were unable, though, to make a conclusion concerning a possible positive impact of the repetition of the interrupted words on the speech-laugh synthesis quality.

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Analysis of laughter and speech-laugh signals using excitation source information

Cited by 17 publications

References 7 publications

Introducing AmuS: The Amused Speech Database

Introducing AmuS: The Amused Speech Database

Analysis of the Effect of Speech-Laugh on Speaker Recognition System

Breath and repeat: An attempt at enhancing speech-laugh synthesis quality

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