788 citations · 1.2k across the 41 of their papers we have counts for
6 papers · 1 filter
ESPnet-ONNX: Bridging a Gap Between Research and Production
Masao Someki, Yosuke Higuchi, Tomoki Hayashi +1
In the field of deep learning, researchers often focus on inventing novel neural network models and improving benchmarks. In contrast, application developers are interested in maki…
A Comparative Study of Self-supervised Speech Representation Based Voice Conversion
Wen-Chin Huang, Shu-Wen Yang, Tomoki Hayashi +1
We present a large-scale comparative study of self-supervised speech representation (S3R)-based voice conversion (VC). In the context of recognition-synthesis VC, S3Rs are attracti…
Muskits: an End-to-End Music Processing Toolkit for Singing Voice Synthesis
Jiatong Shi, Shuai Guo, Tao Qian +9
This paper introduces a new open-source platform named Muskits for end-to-end music processing, which mainly focuses on end-to-end singing voice synthesis (E2E-SVS). Muskits suppor…
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure
Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda +1
Anomalous sound detection systems must detect unknown, atypical sounds using only normal audio data. Conventional methods use the serial method, a combination of outlier exposure (…
Acoustic Event Detection with Classifier Chains
Tatsuya Komatsu, Shinji Watanabe, Koichi Miyazaki +1
This paper proposes acoustic event detection (AED) with classifier chains, a new classifier based on the probabilistic chain rule. The proposed AED with classifier chains consists…
Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem
Jing Shi, Xuankai Chang, Tomoki Hayashi +3
Deep learning based models have significantly improved the performance of speech separation with input mixtures like the cocktail party. Prominent methods (e.g., frequency-domain a…