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Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric
Deep Neural Network–Hidden Markov Model (DNN-HMM) based methods have bee...
11/02/2020 ∙ by Ashish Shrivastava, et al. ∙
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Knowledge Transfer for Efficient On-device False Trigger Mitigation
In this paper, we address the task of determining whether a given uttera...
10/20/2020 ∙ by Pranay Dighe, et al. ∙
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Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation
False triggers in voice assistants are unintended invocations of the ass...
08/18/2020 ∙ by Rishika Agarwal, et al. ∙
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Self-supervised Learning of Visual Speech Features with Audiovisual Speech Enhancement
We present an introspection of an audiovisual speech enhancement model. ...
04/25/2020 ∙ by Zakaria Aldeneh, et al. ∙
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Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions
Emotion plays an essential role in human-to-human communication, enablin...
01/31/2020 ∙ by Vasudha Kowtha, et al. ∙
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Multi-task Learning for Speaker Verification and Voice Trigger Detection
Automatic speech transcription and speaker recognition are usually treat...
01/26/2020 ∙ by Siddharth Sigtia, et al. ∙
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Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
Voice-triggered smart assistants often rely on detection of a trigger-ph...
01/25/2020 ∙ by Pranay Dighe, et al. ∙
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Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice
Millions of people reach out to digital assistants such as Siri every da...
06/28/2019 ∙ by Vikramjit Mitra, et al. ∙
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