Kenichi Kumatani

PRINCIPAL RESEARCHER

출판물

자료 보기:

- Knowledge Distillation for Mixture of Experts Models in Speech Recognition
  
  Felipe Cruz Salinas, Kenichi Kumatani, Robert Gmyr, Linquan Liu, Yu Shi
  
  MSR-TR-2022-6 | May 2022
  
  글쓴이 Microsoft
  
  Publication
- Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition
  
  Kenichi Kumatani, Robert Gmyr, Felipe Cruz Salinas, Linquan Liu, Wei Zuo , Devang Patel, Eric Sun, Yu Shi
  
  CoRR | December 2021, 제 abs/2112.05820 권
  
  Publication
- Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
  
  Tae Jin Park, Kenichi Kumatani, Dimitrios Dimitriadis
  
  October 2021
  
  Publication 프로젝트
- One-Shot Voice Conversion with Speaker-Agnostic StarGAN
  
  Sefik Emre Eskimez, Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr
  
  INTERSPEECH 2022 | August 2021
  
  Publication DOI 프로젝트
- UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
  
  Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication
- Ensemble Combination between Different Time Segmentations
  
  Jeremy Wong, Dimitrios Dimitriadis, Kenichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong
  
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
  
  Publication
- Sequence-Level Self-Learning with Multiple Hypotheses
  
  Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng
  
  Interspeech | October 2020
  
  Publication DOI 프로젝트
- Federated Transfer Learning with Dynamic Gradient Aggregation
  
  Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
  
  August 2020
  
  Publication 프로젝트

- Knowledge Distillation for Mixture of Experts Models in Speech Recognition
  
  Felipe Cruz Salinas, Kenichi Kumatani, Robert Gmyr, Linquan Liu, Yu Shi
  
  MSR-TR-2022-6 | May 2022
  
  글쓴이 Microsoft
  
  Publication
- Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition
  
  Kenichi Kumatani, Robert Gmyr, Felipe Cruz Salinas, Linquan Liu, Wei Zuo , Devang Patel, Eric Sun, Yu Shi
  
  CoRR | December 2021, 제 abs/2112.05820 권
  
  Publication
- Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
  
  Tae Jin Park, Kenichi Kumatani, Dimitrios Dimitriadis
  
  October 2021
  
  Publication 프로젝트
- One-Shot Voice Conversion with Speaker-Agnostic StarGAN
  
  Sefik Emre Eskimez, Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr
  
  INTERSPEECH 2022 | August 2021
  
  Publication DOI 프로젝트
- UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
  
  Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication
- Ensemble Combination between Different Time Segmentations
  
  Jeremy Wong, Dimitrios Dimitriadis, Kenichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong
  
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
  
  Publication
- Sequence-Level Self-Learning with Multiple Hypotheses
  
  Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng
  
  Interspeech | October 2020
  
  Publication DOI 프로젝트
- Federated Transfer Learning with Dynamic Gradient Aggregation
  
  Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
  
  August 2020
  
  Publication 프로젝트
- Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
  
  Tae Jin Park, Kenichi Kumatani, Dimitrios Dimitriadis
  
  October 2021
  
  Publication 프로젝트
- Federated Transfer Learning with Dynamic Gradient Aggregation
  
  Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
  
  August 2020
  
  Publication 프로젝트
- UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
  
  Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication
- Ensemble Combination between Different Time Segmentations
  
  Jeremy Wong, Dimitrios Dimitriadis, Kenichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong
  
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
  
  Publication
- Ensemble Combination between Different Time Segmentations
  
  Jeremy Wong, Dimitrios Dimitriadis, Kenichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong
  
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
  
  Publication
- Ensemble Combination between Different Time Segmentations
  
  Jeremy Wong, Dimitrios Dimitriadis, Kenichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong
  
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
  
  Publication
- Federated Transfer Learning with Dynamic Gradient Aggregation
  
  Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
  
  August 2020
  
  Publication 프로젝트
- Federated Transfer Learning with Dynamic Gradient Aggregation
  
  Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
  
  August 2020
  
  Publication 프로젝트

- Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition
  
  Kenichi Kumatani, Robert Gmyr, Felipe Cruz Salinas, Linquan Liu, Wei Zuo , Devang Patel, Eric Sun, Yu Shi
  
  CoRR | December 2021, 제 abs/2112.05820 권
  
  Publication
- One-Shot Voice Conversion with Speaker-Agnostic StarGAN
  
  Sefik Emre Eskimez, Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr
  
  INTERSPEECH 2022 | August 2021
  
  Publication DOI 프로젝트
- UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
  
  Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication
- Ensemble Combination between Different Time Segmentations
  
  Jeremy Wong, Dimitrios Dimitriadis, Kenichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong
  
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021
  
  Publication
- Sequence-Level Self-Learning with Multiple Hypotheses
  
  Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng
  
  Interspeech | October 2020
  
  Publication DOI 프로젝트
- Knowledge Distillation for Mixture of Experts Models in Speech Recognition
  
  Felipe Cruz Salinas, Kenichi Kumatani, Robert Gmyr, Linquan Liu, Yu Shi
  
  MSR-TR-2022-6 | May 2022
  
  글쓴이 Microsoft
  
  Publication
- Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
  
  Tae Jin Park, Kenichi Kumatani, Dimitrios Dimitriadis
  
  October 2021
  
  Publication 프로젝트
- Federated Transfer Learning with Dynamic Gradient Aggregation
  
  Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
  
  August 2020
  
  Publication 프로젝트

Kenichi Kumatani

출판물

Knowledge Distillation for Mixture of Experts Models in Speech Recognition

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal

One-Shot Voice Conversion with Speaker-Agnostic StarGAN

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

Ensemble Combination between Different Time Segmentations

Sequence-Level Self-Learning with Multiple Hypotheses

Federated Transfer Learning with Dynamic Gradient Aggregation

Knowledge Distillation for Mixture of Experts Models in Speech Recognition

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal

One-Shot Voice Conversion with Speaker-Agnostic StarGAN

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

Ensemble Combination between Different Time Segmentations

Sequence-Level Self-Learning with Multiple Hypotheses

Federated Transfer Learning with Dynamic Gradient Aggregation

Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal

Federated Transfer Learning with Dynamic Gradient Aggregation

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

Ensemble Combination between Different Time Segmentations

Ensemble Combination between Different Time Segmentations

Ensemble Combination between Different Time Segmentations

Federated Transfer Learning with Dynamic Gradient Aggregation

Federated Transfer Learning with Dynamic Gradient Aggregation

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

One-Shot Voice Conversion with Speaker-Agnostic StarGAN

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

Ensemble Combination between Different Time Segmentations

Sequence-Level Self-Learning with Multiple Hypotheses

Knowledge Distillation for Mixture of Experts Models in Speech Recognition

Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal

Federated Transfer Learning with Dynamic Gradient Aggregation