David Harwath
UT Austin CS · Assistant Professor
Research focus: automatic speech recognition · spoken language understanding · multimodal machine learning · audio-visual learning
保护项 3 的自动审核：构建基于语音/音频处理的拟合参数图，涵盖多模态学习、音频 - 视觉 grounding 等；引用一个可见的实验室主题、校友/就业模式、基准信号、当前学生名单、招募/状态警告或项目领域，并提出一项具体的第一学期研究扩展。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: automatic speech recognition · spoken language understanding).
- Prepare for speech+multimodal research: ASR, spoken language understanding, self-supervised speech, audio-visual learning, multilingual generation, and low-resource language work.
- 你想把 ML 接到真实数据与落地问题（当前信号：automatic speech recognition · spoken language understanding）。
- 准备面向多模态与语音研究的准备：包括语音识别（ASR）、多模态生成、多语言生成以及低资源语言工作。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
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