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03/03/2023
Pre-trained Model Representations and their Robustness against Noise for Speech Emotion Analysis
Pre-trained model representations have demonstrated state-of-the-art per...
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07/02/2022
Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation
Estimating dimensional emotions, such as activation, valence and dominan...
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07/28/2021
Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones
Respiratory rate (RR) is a clinical metric used to assess overall health...
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06/18/2021
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech
Dysfluencies and variations in speech pronunciation can severely degrade...
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02/24/2021
SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter
The ability to automatically detect stuttering events in speech could he...
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01/31/2020
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions
Emotion plays an essential role in human-to-human communication, enablin...
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01/06/2020
Investigation and Analysis of Hyper and Hypo neuron pruning to selectively update neurons during Unsupervised Adaptation
Unseen or out-of-domain data can seriously degrade the performance of a ...
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06/28/2019
Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice
Millions of people reach out to digital assistants such as Siri every da...
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05/16/2019
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech
The rapid population aging has stimulated the development of assistive d...
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07/28/2018
Articulatory Features for ASR of Pathological Speech
In this work, we investigate the joint use of articulatory and acoustic ...
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02/16/2018
Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition
This paper explores the use of multi-view features and their discriminat...
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02/16/2018
Interpreting DNN output layer activations: A strategy to cope with unseen data in speech recognition
Unseen data can degrade performance of deep neural net acoustic models. ...
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08/31/2017
