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ORCIDSMM 2019: Vienna, Austria
- Venkata Subramanian Viraraghavan, Alexander Schindler, João P. Cabral, Gauri Deshpande, Sachin Patel:
2019 Workshop on Speech, Music and Mind, SMM 2019, Vienna, Austria, September 14, 2019. ISCA 2019
Forenoon keynote speech
- Shrikanth Narayanan:
Understanding affective expressions and experiences through behavioral machine intelligence.
Detecting mental states from speech
- Carlos Toshinori Ishi, Takayuki Kanda:
Prosodic and voice quality analyses of loud speech: differences of hot anger and far-directed speech. - Lara Gauder, Agustín Gravano, Luciana Ferrer, Pablo Riera, Silvina Brussino:
A protocol for collecting speech data with varying degrees of trust. - Pablo Riera, Luciana Ferrer, Agustín Gravano, Lara Gauder:
No Sample Left Behind: Towards a Comprehensive Evaluation of Speech Emotion Recognition Systems. - Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Towards Feature-space Emotional Speech Adaptation for TDNN based Telugu ASR systems. - Kaajal Gupta, Anzar Zulfiqar, Pushpa Ramu, Tilak Purohit, V. Ramasubramanian:
Detection of emotional states of OCD patients in an exposure-response prevention therapy scenario. - A. K. Punnoose
:
New Features for Speech Activity Detection. - João P. Cabral, Alexsandro R. Meireles:
Transformation of voice quality in singing using glottal source features. - Gauri Deshpande, Venkata Subramanian Viraraghavan, Rahul Gavas:
A Successive Difference Feature for Detecting Emotional Valence from Speech.
Afternoon keynote speech
- John Ashley Burgoyne:
Everyday Features for Everyday Listening.
Effect of music and audio on mental states
- Venkata Subramanian Viraraghavan, Rahul Gavas, Hema A. Murthy, R. Aravind:
Visualizing Carnatic music as projectile motion in a uniform gravitational field. - Timothy Greer, Shrikanth Narayanan:
Using Shared Vector Representations of Words and Chords in Music for Genre Classification. - Giorgia Cantisani, Gabriel Trégoat, Slim Essid, Gaël Richard:
MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music. - Rajat Agarwal, Ravinder Singh, Suvi Saarikallio, Katrina McFerran, Vinoo Alluri:
Mining Mental States using Music Associations. - Svetlana Rudenko, João P. Cabral:
Synaesthesia: How can it be used to enhance the audio-visual perception of music and multisensory design in digitally enhanced environments?
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