← Authors

Keisuke Kinoshita

30 papers · 2016–2025 · 2 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (2) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (6) 🏠 Conference Loyalist (29) 🧬 Topic Evolution πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (21) πŸ—ƒοΈ Keyword Collector (104) ❓ The Questioner (2) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (30) πŸ”₯ Unstoppable (7)

Conferences

INTERSPEECH (29) ICML (1)

Top co-authors

Marc Delcroix (21) Tomohiro Nakatani (21) Shoko Araki (10) Atsunori Ogawa (9) Tsubasa Ochiai (8) Toshio Irino (6) Reinhold Haeb-Umbach (5) Thilo von Neumann (4) Christoph Boeddeker (4) Katsuhiko Yamamoto (4)

Keywords

speech enhancement (11) source separation (6) deep neural network (5) speech separation (5) neural network (5) speech intelligibility (5) automatic speech recognition (4) speaker separation (4) target speech extraction (3) speaker embedding (2) overlapping speech (2) speech intelligibility prediction (2) weighted prediction error (2) bottleneck feature (2) speaker extraction (2) acoustic model (2) noise robustness (2) speaker verification (2) speaker diarization (2) recurrent neural network (2)

Papers

Long-Form Speech Generation with Spoken Language Models ICML 2025
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT INTERSPEECH 2022
Listen only to me! How well can target speech extraction handle false alarms? INTERSPEECH 2022
Strategies to Improve Robustness of Target Speech Extraction to Enrollment Variations INTERSPEECH 2022
PILOT: Introducing Transformers for Probabilistic Sound Event Localization INTERSPEECH 2021
Continuous Speech Separation Using Speaker Inventory for Long Recording INTERSPEECH 2021
Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers INTERSPEECH 2021
Few-Shot Learning of New Sound Classes for Target Sound Extraction INTERSPEECH 2021
Advances in Integration of End-to-End Neural and Clustering-Based Diarization for Real Conversational Speech INTERSPEECH 2021
Comparison of Remote Experiments Using Crowdsourcing and Laboratory Experiments on Speech Intelligibility INTERSPEECH 2021
Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition INTERSPEECH 2021
Predicting Intelligibility of Enhanced Speech Using Posteriors Derived from DNN-Based ASR System INTERSPEECH 2020
Listen to What You Want: Neural Network-Based Universal Sound Selector INTERSPEECH 2020
Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation INTERSPEECH 2020
Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR INTERSPEECH 2020
Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation INTERSPEECH 2020
Simultaneous Denoising and Dereverberation for Low-Latency Applications Using Frame-by-Frame Online Unified Convolutional Beamformer INTERSPEECH 2019
End-to-End SpeakerBeam for Single Channel Target Speech Recognition INTERSPEECH 2019
Multimodal SpeakerBeam: Single Channel Target Speech Extraction with Audio-Visual Speaker Clues INTERSPEECH 2019
Predicting Speech Intelligibility of Enhanced Speech Using Phone Accuracy of DNN-Based ASR System INTERSPEECH 2019
Multi-resolution Gammachirp Envelope Distortion Index for Intelligibility Prediction of Noisy Speech INTERSPEECH 2018
Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation INTERSPEECH 2018
Neural Network-Based Spectrum Estimation for Online WPE Dereverberation INTERSPEECH 2017
Deep Clustering-Based Beamforming for Separation with Unknown Number of Sources INTERSPEECH 2017
Improved Example-Based Speech Enhancement by Using Deep Neural Network Acoustic Model for Noise Robust Example Search INTERSPEECH 2017
Speaker-Aware Neural Network Based Beamformer for Speaker Extraction in Speech Mixtures INTERSPEECH 2017
Predicting Speech Intelligibility Using a Gammachirp Envelope Distortion Index Based on the Signal-to-Distortion Ratio INTERSPEECH 2017
Context Adaptive Neural Network for Rapid Adaptation of Deep CNN Based Acoustic Models INTERSPEECH 2016
Speech Intelligibility Prediction Based on the Envelope Power Spectrum Model with the Dynamic Compressive Gammachirp Auditory Filterbank INTERSPEECH 2016
Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement INTERSPEECH 2016