1. Shinji Watanabe - Google Scholar
Carnegie Mellon University - Cited by 31825 - Speech recognition - Speech processing - Speech enhancement - Speech translation
Carnegie Mellon University - Cited by 31,779 - Speech recognition - Speech processing - Speech enhancement - Speech translation
2. Shinji Watanabe - Google Sites
Shinji Watanabe is an Associate Professor at Carnegie Mellon University, Pittsburgh, PA. He received his BS, MS, and Ph.D. (Dr. Eng.) degrees from Waseda ...
Shinji Watanabe Associate Professor Carnegie Mellon University shinjiw_at_ieee.org or swatanab_at_andrew.cmu.edu
3. ESPnet2 ASR pretrained model - Hugging Face
This model was trained by Shinji Watanabe using librispeech recipe in espnet. Python API See https://github.com/espnet/espnet_model_zoo
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4. Shinji Watanabe - Electrical and Computer Engineering - College of ...
Shinji Watanabe is an Associate Professor at Carnegie Mellon University, Pittsburgh, PA. He received his B.S., M.S., and Ph.D. (Dr. Eng.) degrees from Waseda ...
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5. Shinji Watanabe | IEEE Xplore Author Details
Shinji Watanabe (Senior Member, IEEE) is currently an Associate Professor with CMU, Pittsburgh, PA, USA. He was a Research Scientist with NTT, Tokyo, Japan.
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6. Shinji Watanabe - Human Language Technology Center of Excellence
His research is focused on the area of spoken language processing which includes speech enhancement, source separation, microphone array, speaker adaptation.
Shinji Watanabe received his Bachelor’s and Master’s degrees in Theoretical Physics from the Waseda University in Tokyo, Japan. He received his Ph.D. in Engineering from Waseda University as well. His research is focused on the area of spoken language processing which includes speech enhancement, source separation, microphone array, speaker adaptation, speaker clustering, acoustic and language modeling […]
7. A Study on Speech Enhancement Based on Diffusion Probabilistic ...
Jul 25, 2021 · We propose a diffusion probabilistic model-based speech enhancement (DiffuSE) model that aims to recover clean speech signals from noisy signals.
Diffusion probabilistic models have demonstrated an outstanding capability to model natural images and raw audio waveforms through a paired diffusion and reverse processes. The unique property of the reverse process (namely, eliminating non-target signals from the Gaussian noise and noisy signals) could be utilized to restore clean signals. Based on this property, we propose a diffusion probabilistic model-based speech enhancement (DiffuSE) model that aims to recover clean speech signals from noisy signals. The fundamental architecture of the proposed DiffuSE model is similar to that of DiffWave--a high-quality audio waveform generation model that has a relatively low computational cost and footprint. To attain better enhancement performance, we designed an advanced reverse process, termed the supportive reverse process, which adds noisy speech in each time-step to the predicted speech. The experimental results show that DiffuSE yields performance that is comparable to related audio generative models on the standardized Voice Bank corpus SE task. Moreover, relative to the generally suggested full sampling schedule, the proposed supportive reverse process especially improved the fast sampling, taking few steps to yield better enhancement results over the conventional full step inference process.
8. ESPnet2 pretrained model, Shinji Watanabe ... - OpenAIRE - Explore
This model was trained by Shinji Watanabe using jsut recipe in espnet. Python APISee https://github.com/espnet/espnet_model_zoo Evaluate in the recipegit .
This model was trained by Shinji Watanabe using jsut recipe in espnet. Python APISee https://github.com/espnet/espnet_model_zoo Evaluate in the recipegit ...
9. Toward Explainable Speech Foundation Models : News & Events
Apr 17, 2024 · Shinji Watanabe, PhD. Associate Professor at Carnegie Mellon University. Friday, April 26, 2024. Noon–1 p.m.. 601 Computer Studies Building.
10. Shinji Watanabe - Semantic Scholar
Preliminary experiments on single-channel mixtures from multiple speakers show that a speaker-independent model trained on two-speaker mixtures can improve ...
Semantic Scholar profile for Shinji Watanabe, with 2141 highly influential citations and 591 scientific research papers.
