5 papers
Less can be More: What Aspects of Speech Drive End-of-Turn Detection
Rini Sharon, Manickavela A, Kadri Hacioglu +1
In conversational AI, detecting when a speaker has finished talking is crucial for natural turn taking. While recent work incorporates semantics, the relative contribution of diffe…
Multilingual and Multimodal Abuse Detection
Rini Sharon, Heet Shah, Debdoot Mukherjee +1
The presence of abusive content on social media platforms is undesirable as it severely impedes healthy and safe social media interactions. While automatic abuse detection has been…
ADIMA: Abuse Detection In Multilingual Audio
Vikram Gupta, Rini Sharon, Ramit Sawhney +1
Abusive content detection in spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR…
Correlation based Multi-phasal models for improved imagined speech EEG recognition
Rini A Sharon, Hema A Murthy
Translation of imagined speech electroencephalogram(EEG) into human understandable commands greatly facilitates the design of naturalistic brain computer interfaces. To achieve imp…
The "Sound of Silence" in EEG -- Cognitive voice activity detection
Rini A Sharon, Hema A Murthy
Speech cognition bears potential application as a brain computer interface that can improve the quality of life for the otherwise communication impaired people. While speech and re…