Tomoki Hayashi
Orcid: 0000-0001-8782-4093
According to our database1,
Tomoki Hayashi
authored at least 84 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
CoRR, 2023
Low-Latency Electrolaryngeal Speech Enhancement Based on Fastspeech2-Based Voice Conversion and Self-Supervised Speech Representation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023
2022
IEEE J. Sel. Top. Signal Process., 2022
CoRR, 2022
Efficient Training Method for Point Cloud-Based Object Detection Models by Combining Environmental Transitions and Active Learning.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022
Proceedings of the Interspeech 2022, 2022
S3PRL-VC: Open-Source Voice Conversion Framework with Self-Supervised Speech Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022
An Investigation of Streaming Non-Autoregressive sequence-to-sequence Voice Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2022
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure.
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Quasi-Periodic Parallel WaveGAN: A Non-Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem.
CoRR, 2021
ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations.
CoRR, 2021
ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2021
Any-to-One Sequence-to-Sequence Voice Conversion Using Self-Supervised Discrete Speech Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021
An Ensemble Approach to Anomalous Sound Detection Based on Conformer-Based Autoencoder and Binary Classifier Incorporated with Metric Learning.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans.
CoRR, 2020
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations.
CoRR, 2020
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS.
CoRR, 2020
Non-Parallel Voice Conversion System With WaveNet Vocoder and Collapsed Speech Suppression.
IEEE Access, 2020
Quasi-Periodic Parallel WaveGAN Vocoder: A Non-Autoregressive Pitch-Dependent Dilated Convolution Model for Parametric Speech Generation.
Proceedings of the Interspeech 2020, 2020
Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling.
Proceedings of the Interspeech 2020, 2020
Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining.
Proceedings of the Interspeech 2020, 2020
Intelligibility Enhancement Based on Speech Waveform Modification Using Hearing Impairment.
Proceedings of the Interspeech 2020, 2020
End-to-End Automatic Speech Recognition Integrated with CTC-Based Voice Activity Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Efficient Shallow Wavenet Vocoder Using Multiple Samples Output Based on Laplacian Distribution and Linear Prediction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Semi-Supervised Speaker Adaptation for End-to-End Speech Synthesis with Pretrained Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Conformer-Based Sound Event Detection with Semi-Supervised Learning and Data Augmentation.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
2019
Voice Conversion With CycleRNN-Based Spectral Mapping and Finely Tuned WaveNet Vocoder.
IEEE Access, 2019
Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation.
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion.
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Voice Conversion with Cyclic Recurrent Neural Network and Fine-tuned Wavenet Vocoder.
Proceedings of the IEEE International Conference on Acoustics, 2019
Scene-dependent Anomalous Acoustic-event Detection Based on Conditional Wavenet and I-vector.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
Daily Activity Recognition with Large-Scaled Real-Life Recording Datasets Based on Deep Neural Network Using Multi-Modal Signals.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018
Proceedings of the Interspeech 2018, 2018
Proceedings of the Interspeech 2018, 2018
Proceedings of the Interspeech 2018, 2018
Connectionist Temporal Classification-based Sound Event Encoder for Converting Sound Events into Onomatopoeic Representations.
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
IEEE ACM Trans. Audio Speech Lang. Process., 2017
IEEE J. Sel. Top. Signal Process., 2017
Proceedings of the Interspeech 2017, 2017
BLSTM-HMM hybrid system combined with sound activity detection network for polyphonic Sound Event Detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
An investigation of recurrent neural network for daily activity recognition using multi-modal signals.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017
2016
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016
2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Daily activity recognition based on DNN using environmental sound and acceleration signals.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Noisy speech recognition using blind spatial subtraction array technique and deep bottleneck features.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014
2013
Non-rigid Surface Tracking for Virtual Fitting System.
Proceedings of the VISAPP 2013, 2013
Proceedings of the SIGGRAPH Asia 2013, 2013
2012
Texture Overlay onto Non-rigid Surface using Commodity Depth Camera.
Proceedings of the VISAPP 2012, 2012
2011
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011
2010
An Augmented Reality Setup with an Omnidirectional Camera Based on Multiple Object Detection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010