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Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
12/10/2019 ∙ by Takuya Yoshioka, et al. ∙
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Cracking the cocktail party problem by multi-beam deep attractor network
While recent progresses in neural network approaches to single-channel s...
03/29/2018 ∙ by Zhuo Chen, et al. ∙
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Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks
The goal of this work is to develop a meeting transcription system that ...
10/08/2018 ∙ by Takuya Yoshioka, et al. ∙
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Low-Latency Speaker-Independent Continuous Speech Separation
Speaker independent continuous speech separation (SI-CSS) is a task of c...
04/13/2019 ∙ by Takuya Yoshioka, et al. ∙
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Meeting Transcription Using Virtual Microphone Arrays
We describe a system that generates speaker-annotated transcripts of mee...
05/03/2019 ∙ by Takuya Yoshioka, et al. ∙
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DOVER: A Method for Combining Diarization Outputs
Speech recognition and other natural language tasks have long benefited ...
09/17/2019 ∙ by Andreas Stolcke, et al. ∙
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End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation
An important problem in ad-hoc microphone speech separation is how to gu...
10/30/2019 ∙ by Yi Luo, et al. ∙
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Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
Recent studies in deep learning-based speech separation have proven the ...
10/14/2019 ∙ by Yi Luo, et al. ∙
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Continuous speech separation: dataset and analysis
This paper describes a dataset and protocols for evaluating continuous s...
01/30/2020 ∙ by Zhuo Chen, et al. ∙
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