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20192021
most citedGenerating Multilingual Voices Using Speaker Space Translation Based on Bilingual Speaker Data

1 citations · 2 across the 4 of their papers we have counts for

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eess.AS20211 cited

Whispered and Lombard Neural Speech Synthesis

Qiong Hu, Tobias Bleisch, Petko Petkov +3

It is desirable for a text-to-speech system to take into account the environment where synthetic speech is presented, and provide appropriate context-dependent output to the user.…

eess.AS2020

Knowledge Transfer for Efficient On-device False Trigger Mitigation

Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla +2

In this paper, we address the task of determining whether a given utterance is directed towards a voice-enabled smart-assistant device or not. An undirected utterance is termed as…

eess.AS2020

Progressive Voice Trigger Detection: Accuracy vs Latency

Siddharth Sigtia, John Bridle, Hywel Richards +3

We present an architecture for voice trigger detection for virtual assistants. The main idea in this work is to exploit information in words that immediately follow the trigger phr…

eess.AS2020

Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions

Vasudha Kowtha, Vikramjit Mitra, Chris Bartels +5

Emotion plays an essential role in human-to-human communication, enabling us to convey feelings such as happiness, frustration, and sincerity. While modern speech technologies rely…

eess.AS2020

Multi-task Learning for Speaker Verification and Voice Trigger Detection

Siddharth Sigtia, Erik Marchi, Sachin Kajarekar +2

Automatic speech transcription and speaker recognition are usually treated as separate tasks even though they are interdependent. In this study, we investigate training a single ne…