842 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sony Corporation (United States)US3 papers
- Sony (Taiwan)TW3 papers
- Carnegie Mellon UniversityUS2 papers
- Sony Computer Science LaboratoriesJP2 papers
- University of California, BerkeleyUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of SouthamptonGB2 papers
- Cybernet SYSTEMS Co., Ltd. (Japan)JP1 paper
- Dexerials (Japan)JP1 paper
- ETH ZurichCH1 paper
- European Space AgencyFR1 paper
- European Space Astronomy CentreES1 paper
3 papers · 1 filter
Improving Voice Separation by Incorporating End-to-end Speech Recognition
Naoya Takahashi, Mayank Kumar Singh, Sakya Basak +3
Despite recent advances in voice separation methods, many challenges remain in realistic scenarios such as noisy recording and the limits of available data. In this work, we propos…
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji
Deep neural networks have become an indispensable technique for audio source separation (ASS). It was recently reported that a variant of CNN architecture called MMDenseNet was suc…
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection
Naoya Takahashi, Michael Gygli, Beat Pfister +1
We propose a novel method for Acoustic Event Detection (AED). In contrast to speech, sounds coming from acoustic events may be produced by a wide variety of sources. Furthermore, d…