Yu Tsao
Researcher / author (OpenAlex)
Facts
2 properties- Instance of
- human
- Affiliation
- Chung Yuan Christian University, Research Center for Information Technology Innovation, Academia Sinica, Academia Sinicaas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-6956-0418
- OpenAlex ID
- A5044008055, A5109651695, A5122323619, A5135850540as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 107
A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation,
A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise,
A linear regression model with dynamic pulse transit time features for noninvasive blood pressure prediction,
Analyzing The Robustness of Unsupervised Speech Recognition,
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition,
A Novel LSTM-Based Speech Preprocessor for Speaker Diarization in Realistic Mismatch Conditions,
A probabilistic interpretation for artificial neural network-based voice conversion,
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation
+99 more
← Authored by 107
A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation,
A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise,
A linear regression model with dynamic pulse transit time features for noninvasive blood pressure prediction,
Analyzing The Robustness of Unsupervised Speech Recognition,
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition,
A Novel LSTM-Based Speech Preprocessor for Speaker Diarization in Realistic Mismatch Conditions,
A probabilistic interpretation for artificial neural network-based voice conversion,
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation
+99 more
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