Shinji Watanabe

Improving RNN Transducer With Target Speaker Extraction and Neural Uncertainty Estimation

Target-speaker speech recognition aims to recognize target-speaker speec...
11/26/2020 ∙ by Jiatong Shi, et al. ∙ 0 ∙ share

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ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration

We present ESPnet-SE, which is designed for the quick development of spe...
11/07/2020 ∙ by Chenda Li, et al. ∙ 0 ∙ share

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Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis

Multi-speaker speech recognition of unsegmented recordings has diverse a...
11/03/2020 ∙ by Desh Raj, et al. ∙ 0 ∙ share

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DOVER-Lap: A Method for Combining Overlap-aware Diarization Outputs

Several advances have been made recently towards handling overlapping sp...
11/03/2020 ∙ by Desh Raj, et al. ∙ 0 ∙ share

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Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization

This paper proposes a new paradigm for handling far-field multi-speaker ...
10/30/2020 ∙ by Aswin Shanmugam Subramanian, et al. ∙ 0 ∙ share

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Recent Developments on ESPnet Toolkit Boosted by Conformer

In this study, we present recent developments on ESPnet: End-to-End Spee...
10/26/2020 ∙ by Pengcheng Guo, et al. ∙ 0 ∙ share

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Improved Mask-CTC for Non-Autoregressive End-to-End ASR

For real-world deployment of automatic speech recognition (ASR), the sys...
10/26/2020 ∙ by Yosuke Higuchi, et al. ∙ 0 ∙ share

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Orthros: Non-autoregressive End-to-end Speech Translation with Dual-decoder

Fast inference speed is an important goal towards real-world deployment ...
10/25/2020 ∙ by Hirofumi Inaguma, et al. ∙ 0 ∙ share

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Training Noisy Single-Channel Speech Separation With Noisy Oracle Sources: A Large Gap and A Small Step

As the performance of single-channel speech separation systems has impro...
10/23/2020 ∙ by Matthew Maciejewski, et al. ∙ 0 ∙ share

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Learning Speaker Embedding from Text-to-Speech

Zero-shot multi-speaker Text-to-Speech (TTS) generates target speaker vo...
10/21/2020 ∙ by Jaejin Cho, et al. ∙ 0 ∙ share

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The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS

This paper presents the sequence-to-sequence (seq2seq) baseline system f...
10/06/2020 ∙ by Wen-Chin Huang, et al. ∙ 0 ∙ share

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Augmentation adversarial training for unsupervised speaker recognition

The goal of this work is to train robust speaker recognition models with...
07/23/2020 ∙ by Jaesung Huh, et al. ∙ 0 ∙ share

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Streaming Transformer ASR with Blockwise Synchronous Inference

The Transformer self-attention network has recently shown promising perf...
06/25/2020 ∙ by Emiru Tsunoo, et al. ∙ 0 ∙ share

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Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals

Neural sequence-to-sequence models are well established for applications...
06/25/2020 ∙ by Jing Shi, et al. ∙ 0 ∙ share

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Speaker-Conditional Chain Model for Speech Separation and Extraction

Speech separation has been extensively explored to tackle the cocktail p...
06/25/2020 ∙ by Jing Shi, et al. ∙ 0 ∙ share

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The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge

This paper summarizes the JHU team's efforts in tracks 1 and 2 of the CH...
06/14/2020 ∙ by Ashish Arora, et al. ∙ 0 ∙ share

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Online End-to-End Neural Diarization with Speaker-Tracing Buffer

End-to-end speaker diarization using a fully supervised self-attention m...
06/04/2020 ∙ by Yawen Xue, et al. ∙ 0 ∙ share

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Neural Speaker Diarization with Speaker-Wise Chain Rule

Speaker diarization is an essential step for processing multi-speaker au...
06/02/2020 ∙ by Yusuke Fujita, et al. ∙ 0 ∙ share

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Insertion-Based Modeling for End-to-End Automatic Speech Recognition

End-to-end (E2E) models have gained attention in the research field of a...
05/27/2020 ∙ by Yuya Fujita, et al. ∙ 0 ∙ share

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End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming

Despite successful applications of end-to-end approaches in multi-channe...
05/21/2020 ∙ by Wangyou Zhang, et al. ∙ 0 ∙ share

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End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors

End-to-end speaker diarization for an unknown number of speakers is addr...
05/20/2020 ∙ by Shota Horiguchi, et al. ∙ 0 ∙ share

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Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict

We present Mask CTC, a novel non-autoregressive end-to-end automatic spe...
05/18/2020 ∙ by Yosuke Higuchi, et al. ∙ 0 ∙ share

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DiscreTalk: Text-to-Speech as a Machine Translation Problem

This paper proposes a new end-to-end text-to-speech (E2E-TTS) model base...
05/12/2020 ∙ by Tomoki Hayashi, et al. ∙ 0 ∙ share

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ESPnet-ST: All-in-One Speech Translation Toolkit

We present ESPnet-ST, which is designed for the quick development of spe...
04/21/2020 ∙ by Hirofumi Inaguma, et al. ∙ 0 ∙ share

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CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges...
04/20/2020 ∙ by Shinji Watanabe, et al. ∙ 0 ∙ share

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End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification

The most common approach to speaker diarization is clustering of speaker...
02/24/2020 ∙ by Yusuke Fujita, et al. ∙ 0 ∙ share

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Speaker Diarization with Region Proposal Network

Speaker diarization is an important pre-processing step for many speech ...
02/14/2020 ∙ by Zili Huang, et al. ∙ 0 ∙ share

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End-to-End Multi-speaker Speech Recognition with Transformer

Recently, fully recurrent neural network (RNN) based end-to-end models h...
02/10/2020 ∙ by Xuankai Chang, et al. ∙ 0 ∙ share

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End-to-End Automatic Speech Recognition Integrated With CTC-Based Voice Activity Detection

This paper integrates a voice activity detection (VAD) function with end...
02/03/2020 ∙ by Takenori Yoshimura, et al. ∙ 0 ∙ share

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Non-Autoregressive Transformer Automatic Speech Recognition

Recently very deep transformers start showing outperformed performance t...
11/10/2019 ∙ by Nanxin Chen, et al. ∙ 0 ∙ share

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Towards Online End-to-end Transformer Automatic Speech Recognition

The Transformer self-attention network has recently shown promising perf...
10/25/2019 ∙ by Emiru Tsunoo, et al. ∙ 0 ∙ share

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ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

This paper introduces a new end-to-end text-to-speech (E2E-TTS) toolkit ...
10/24/2019 ∙ by Tomoki Hayashi, et al. ∙ 0 ∙ share

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A practical two-stage training strategy for multi-stream end-to-end speech recognition

The multi-stream paradigm of audio processing, in which several sources ...
10/23/2019 ∙ by Ruizhi Li, et al. ∙ 0 ∙ share

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Transformer ASR with Contextual Block Processing

The Transformer self-attention network has recently shown promising perf...
10/16/2019 ∙ by Emiru Tsunoo, et al. ∙ 0 ∙ share

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MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition

Recently, the end-to-end approach has proven its efficacy in monaural mu...
10/15/2019 ∙ by Xuankai Chang, et al. ∙ 0 ∙ share

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Multilingual End-to-End Speech Translation

In this paper, we propose a simple yet effective framework for multiling...
10/01/2019 ∙ by Hirofumi Inaguma, et al. ∙ 0 ∙ share

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Espresso: A Fast End-to-end Neural Speech Recognition Toolkit

We present Espresso, an open-source, modular, extensible end-to-end neur...
09/18/2019 ∙ by Yiming Wang, et al. ∙ 0 ∙ share

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Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models

This paper investigates the use of target-speaker automatic speech recog...
09/17/2019 ∙ by Naoyuki Kanda, et al. ∙ 0 ∙ share

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A Comparative Study on Transformer vs RNN in Speech Applications

Sequence-to-sequence models have been widely used in end-to-end speech p...
09/13/2019 ∙ by Shigeki Karita, et al. ∙ 0 ∙ share

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End-to-End Neural Speaker Diarization with Self-attention

Speaker diarization has been mainly developed based on the clustering of...
09/13/2019 ∙ by Yusuke Fujita, et al. ∙ 0 ∙ share

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End-to-End Neural Speaker Diarization with Permutation-Free Objectives

In this paper, we propose a novel end-to-end neural-network-based speake...
09/12/2019 ∙ by Yusuke Fujita, et al. ∙ 0 ∙ share

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Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition

In this paper, we propose a novel auxiliary loss function for target-spe...
06/26/2019 ∙ by Naoyuki Kanda, et al. ∙ 0 ∙ share

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Multi-Stream End-to-End Speech Recognition

Attention-based methods and Connectionist Temporal Classification (CTC) ...
06/17/2019 ∙ by Ruizhi Li, et al. ∙ 0 ∙ share

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Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text

Sequence-to-sequence ASR models require large quantities of data to atta...
04/30/2019 ∙ by Murali Karthick Baskar, et al. ∙ 0 ∙ share

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An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions

Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for a...
04/19/2019 ∙ by Aswin Shanmugam Subramanian, et al. ∙ 0 ∙ share

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Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR

Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for a...
04/19/2019 ∙ by Aswin Shanmugam Subramanian, et al. ∙ 0 ∙ share

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Massively Multilingual Adversarial Speech Recognition

We report on adaptation of multilingual end-to-end speech recognition mo...
04/03/2019 ∙ by Oliver Adams, et al. ∙ 0 ∙ share

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Low Resource Multi-modal Data Augmentation for End-to-end ASR

We explore training attention-based encoder-decoder ASR for low-resource...
12/10/2018 ∙ by Matthew Wiesner, et al. ∙ 0 ∙ share

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Stream attention-based multi-array end-to-end speech recognition

Automatic Speech Recognition (ASR) using multiple microphone arrays has ...
11/12/2018 ∙ by Xiaofei Wang, et al. ∙ 0 ∙ share

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Multi-encoder multi-resolution framework for end-to-end speech recognition

Attention-based methods and Connectionist Temporal Classification (CTC) ...
11/12/2018 ∙ by Ruizhi Li, et al. ∙ 0 ∙ share

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Shinji Watanabe

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