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Speech Processing

Template based techniques for automatic segmentation of TTS unit database

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Authors:
S. Adithya, Sunil Rao, C. Mahima, S. Vishnu
Submitted On:
24 March 2016 - 11:32pm
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Template Based Techniques For Automatic Segmentation Of TTS Unit Database.pdf

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[1] S. Adithya, Sunil Rao, C. Mahima, S. Vishnu, "Template based techniques for automatic segmentation of TTS unit database", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1041. Accessed: Dec. 16, 2017.
@article{1041-16,
url = {http://sigport.org/1041},
author = {S. Adithya; Sunil Rao; C. Mahima; S. Vishnu },
publisher = {IEEE SigPort},
title = {Template based techniques for automatic segmentation of TTS unit database},
year = {2016} }
TY - EJOUR
T1 - Template based techniques for automatic segmentation of TTS unit database
AU - S. Adithya; Sunil Rao; C. Mahima; S. Vishnu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1041
ER -
S. Adithya, Sunil Rao, C. Mahima, S. Vishnu. (2016). Template based techniques for automatic segmentation of TTS unit database. IEEE SigPort. http://sigport.org/1041
S. Adithya, Sunil Rao, C. Mahima, S. Vishnu, 2016. Template based techniques for automatic segmentation of TTS unit database. Available at: http://sigport.org/1041.
S. Adithya, Sunil Rao, C. Mahima, S. Vishnu. (2016). "Template based techniques for automatic segmentation of TTS unit database." Web.
1. S. Adithya, Sunil Rao, C. Mahima, S. Vishnu. Template based techniques for automatic segmentation of TTS unit database [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1041

Detecting The Instant of Emotion Change from Speech Using A Martingale Framework


Towards a better understanding of emotion in speech, it is important to understand how emotion changes and when it changes. Recognizing emotions using pre-segmented speech utterances results in a loss in continuity of emotions and does not provide insights into emotion changes. In this paper, we propose an investigation into emotion change detection from the perspective of exchangeability of data points observed sequentially using a martingale framework. Within the framework, a per-frame GMM likelihood based approach is proposed as a measure of strangeness from a particular emotion class.

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Authors:
Zhaocheng Huang, Julien Epps
Submitted On:
23 March 2016 - 2:53am
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ICASSP2016_Huang_25_03_2016_Upload.pdf

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[1] Zhaocheng Huang, Julien Epps, "Detecting The Instant of Emotion Change from Speech Using A Martingale Framework", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/983. Accessed: Dec. 16, 2017.
@article{983-16,
url = {http://sigport.org/983},
author = {Zhaocheng Huang; Julien Epps },
publisher = {IEEE SigPort},
title = {Detecting The Instant of Emotion Change from Speech Using A Martingale Framework},
year = {2016} }
TY - EJOUR
T1 - Detecting The Instant of Emotion Change from Speech Using A Martingale Framework
AU - Zhaocheng Huang; Julien Epps
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/983
ER -
Zhaocheng Huang, Julien Epps. (2016). Detecting The Instant of Emotion Change from Speech Using A Martingale Framework. IEEE SigPort. http://sigport.org/983
Zhaocheng Huang, Julien Epps, 2016. Detecting The Instant of Emotion Change from Speech Using A Martingale Framework. Available at: http://sigport.org/983.
Zhaocheng Huang, Julien Epps. (2016). "Detecting The Instant of Emotion Change from Speech Using A Martingale Framework." Web.
1. Zhaocheng Huang, Julien Epps. Detecting The Instant of Emotion Change from Speech Using A Martingale Framework [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/983

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