Search Results for author:
Found 4 papers, 0 papers with code
Empirical Interpretation of the Relationship Between Speech Acoustic Context and Emotion Recognition
The benefits of using a distributed approach to speech emotion understanding are supported by the results of cross-corpora analysis experiments.
A cross-corpus study on speech emotion recognition
This shows positive information transfer from acted datasets to those with more natural emotions and the benefits from training on different corpora.
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition
In this research, a convolution-based model and a long-short- term memory-based model, both using attention, are applied to investigate these theories of speech emotion on computational models.
Ranked #4 on
Speech Emotion Recognition
on IEMOCAP
The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media
We describe the University of Sheffield system for participation in the 2015 Multi-Genre Broadcast (MGB) challenge task of transcribing multi-genre broadcast shows.
