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09/15/2023
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network
While standard speaker diarization attempts to answer the question "who ...
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09/14/2023
USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models
We introduce a multilingual speaker change detection model (USM-SCD) tha...
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11/11/2022
Augmenting Transformer-Transducer Based Speaker Change Detection With Token-Level Training Loss
In this work we propose a novel token-based training strategy that impro...
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11/11/2022
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting
In this paper, we present a novel approach to adapt a sequence-to-sequen...
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10/25/2022
Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering
While recent research advances in speaker diarization mostly focus on im...
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08/13/2020
LSTM Acoustic Models Learn to Align and Pronounce with Graphemes
Automated speech recognition coverage of the world's languages continues...
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06/30/2018
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study
This paper reviews the collective endeavors by the team of authors in ex...
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05/08/2018