788 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kyoto UniversityJP5 papers
- Naver (South Korea)KR5 papers
- Johns Hopkins UniversityUS3 papers
- Nagoya UniversityJP3 papers
- Waseda UniversityJP3 papers
- Carnegie Mellon UniversityUS2 papers
- Hitachi (Japan)JP2 papers
- NTT (Japan)JP2 papers
- Space Solutions (South Korea)KR2 papers
- Tokyo Metropolitan UniversityJP2 papers
- Doshisha UniversityJP1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
5 papers · 1 filter
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function
Masahito Togami, Yoshiki Masuyama, Tatsuya Komatsu +1
In this paper, we propose a multi-channel speech source separation with a deep neural network (DNN) which is trained under the condition that no clean signal is available. As an al…
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
We propose Parallel WaveGAN, a distillation-free, fast, and small-footprint waveform generation method using a generative adversarial network. In the proposed method, a non-autoreg…
ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit
Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue +6
This paper introduces a new end-to-end text-to-speech (E2E-TTS) toolkit named ESPnet-TTS, which is an extension of the open-source speech processing toolkit ESPnet. The toolkit sup…
A Comparative Study on Transformer vs RNN in Speech Applications
Shigeki Karita, Nanxin Chen, Tomoki Hayashi +10
Sequence-to-sequence models have been widely used in end-to-end speech processing, for example, automatic speech recognition (ASR), speech translation (ST), and text-to-speech (TTS…
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance
Wataru Sakata, Tomohide Shibata, Ribeka Tanaka +1
Frequently Asked Question (FAQ) retrieval is an important task where the objective is to retrieve an appropriate Question-Answer (QA) pair from a database based on a user's query.…