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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Reflections as a Newbie Tech Lead
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From a technically-oriented newbie leader — takeaways on staying sharp, navigating conflict, and leading with character.
Conformer: Combining CNNs and Transformers for Speech Recognition
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A deep dive into the Conformer architecture, which fuses CNNs and Transformers for state-of-the-art automatic speech recognition.
Paper Reading: Progressive Neural Networks
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Paper Reading: Learning without Forgetting
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People
Published in WASPAA, 2025
Speech foundation models (SFMs) have shown strong performance across various downstream tasks, including speech intelligibility prediction. In this paper, we provide a comprehensive guide highlighting the key considerations necessary to maximize prediction performance.
Recommended citation: Zhou, H., Cao, B., Mo, C., Li, L., & Wang, S. X. (2025). Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People. WASPAA 2025.
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No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction
Published in Interspeech, 2025
In this paper, instead of using audiograms, we propose a new paradigm for personalized speech intelligibility prediction, which utilizes one’s existing intelligibility scores to predict the intelligibility score on new audio clips.
Recommended citation: Zhou, H., Mo, C., Cao, B., Li, L., & Wang, S. X. (2025). No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction. Interspeech 2025.
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Intrusive Intelligibility Prediction with ASR Encoders
Published in Interspeech, 2025
Speech foundation models have demonstrated strong performance in speech intelligibility prediction. In this paper, we present a set of practical techniques that enabled us to achieve first place in the Third Clarity Prediction Challenge.
Recommended citation: Yu, H., Zhou, H., Cao, B., Mo, C., Li, L., & Wang, S. X. (2025, August). Intrusive Intelligibility Prediction with ASR Encoders. In Clarity-2025: The 6th Clarity Workshop on Improving Speech-in-Noise for Hearing Devices (Satellite of Interspeech 2025), Delft, The Netherlands.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.