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01/31/2023
Neural Target Speech Extraction: An Overview
Humans can listen to a target speaker even in challenging acoustic condi...
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11/29/2022
On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systems
We present a general framework to compute the word error rate (WER) of A...
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07/28/2022
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT
Recent speaker diarization studies showed that integration of end-to-end...
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06/16/2022
Strategies to Improve Robustness of Target Speech Extraction to Enrollment Variations
Target speech extraction is a technique to extract the target speaker's ...
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04/11/2022
Listen only to me! How well can target speech extraction handle false alarms?
Target speech extraction (TSE) extracts the speech of a target speaker i...
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04/08/2022
SoundBeam: Target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learning
In many situations, we would like to hear desired sound events (SEs) whi...
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03/31/2022
Subjective intelligibility of speech sounds enhanced by ideal ratio mask via crowdsourced remote experiments with effective data screening
It is essential to perform speech intelligibility (SI) experiments with ...
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02/14/2022
Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model
Speaker diarization has been investigated extensively as an important ce...
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01/11/2022
Learning to Enhance or Not: Neural Network-Based Switching of Enhanced and Observed Signals for Overlapping Speech Recognition
The combination of a deep neural network (DNN) -based speech enhancement...
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11/20/2021
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithm
This paper develops a framework that can perform denoising, dereverberat...
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10/29/2021
SA-SDR: A novel loss function for separation of meeting style data
Many state-of-the-art neural network-based source separation systems use...
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08/04/2021
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation
This paper proposes an approach for optimizing a Convolutional BeamForme...
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07/30/2021
Graph-PIT: Generalized permutation invariant training for continuous separation of arbitrary numbers of speakers
Automatic transcription of meetings requires handling of overlapped spee...
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07/30/2021
Speeding Up Permutation Invariant Training for Source Separation
Permutation invariant training (PIT) is a widely used training criterion...
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06/14/2021
Few-shot learning of new sound classes for target sound extraction
Target sound extraction consists of extracting the sound of a target aco...
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06/07/2021
PILOT: Introducing Transformers for Probabilistic Sound Event Localization
Sound event localization aims at estimating the positions of sound sourc...
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06/02/2021
Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition
Although recent advances in deep learning technology improved automatic ...
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05/19/2021
Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech
Recently, we proposed a novel speaker diarization method called End-to-E...
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04/17/2021
Comparison of remote experiments using crowdsourcing and laboratory experiments on speech intelligibility
Many subjective experiments have been performed to develop objective spe...
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02/28/2021
Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization
Sound event localization frameworks based on deep neural networks have s...
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02/23/2021
Dual-Path Modeling for Long Recording Speech Separation in Meetings
The continuous speech separation (CSS) is a task to separate the speech ...
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02/23/2021
Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain
Estimating the positions of multiple speakers can be helpful for tasks l...
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02/23/2021
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend
Recently, the end-to-end approach has been successfully applied to multi...
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02/02/2021
Multimodal Attention Fusion for Target Speaker Extraction
Target speaker extraction, which aims at extracting a target speaker's v...
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01/14/2021
Speaker activity driven neural speech extraction
Target speech extraction, which extracts the speech of a target speaker ...
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01/12/2021
Neural Network-based Virtual Microphone Estimator
Developing microphone array technologies for a small number of microphon...
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12/17/2020
Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording
Leveraging additional speaker information to facilitate speech separatio...
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11/30/2020
Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation
Time-domain training criteria have proven to be very effective for the s...
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10/26/2020
Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds
Recent diarization technologies can be categorized into two approaches, ...
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06/24/2020
Multi-path RNN for hierarchical modeling of long sequential data and its application to speaker stream separation
Recently, the source separation performance was greatly improved by time...
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06/10/2020
Listen to What You Want: Neural Network-based Universal Sound Selector
Being able to control the acoustic events (AEs) to which we want to list...
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06/04/2020
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR
Most approaches to multi-talker overlapped speech separation and recogni...
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05/20/2020
Jointly optimal denoising, dereverberation, and source separation
This paper proposes methods that can optimize a Convolutional BeamFormer...
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05/10/2020
Cognitive-driven convolutional beamforming using EEG-based auditory attention decoding
The performance of speech enhancement algorithms in a multi-speaker scen...
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03/09/2020
Improving noise robust automatic speech recognition with single-channel time-domain enhancement network
With the advent of deep learning, research on noise-robust automatic spe...
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03/09/2020
Tackling real noisy reverberant meetings with all-neural source separation, counting, and diarization system
Automatic meeting analysis is an essential fundamental technology requir...
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01/23/2020
Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam
Target speech extraction, which extracts a single target source in a mix...
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12/18/2019
End-to-end training of time domain audio separation and recognition
The rising interest in single-channel multi-speaker speech separation sp...
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12/18/2019
Ene-to-end training of time domain audio separation and recognition
The rising interest in single-channel multi-speaker speech separation sp...
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10/30/2019
Jointly optimal dereverberation and beamforming
We previously proposed an optimal (in the maximum likelihood sense) conv...
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08/06/2019
Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation
This article describes a probabilistic formulation of a Weighted Power m...
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04/03/2019
GEDI: Gammachirp Envelope Distortion Index for Predicting Intelligibility of Enhanced Speech
In this study, we proposed a new concept, gammachirp envelope distortion...
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02/21/2019
All-neural online source separation, counting, and diarization for meeting analysis
Automatic meeting analysis comprises the tasks of speaker counting, spea...
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12/20/2018