David Harwath
Assistant Professor
Works on automatic speech recognition, spoken language understanding and visually grounded speech learning from audio and video.
David Harwath's lab at UT Austin works on speech recognition & spoken language, music, audio & sound and recognition, detection & segmentation. 28 papers since 2023, 21 at top venues, mostly ICASSP and Interspeech. 7 PhD students and 1 master's student. 10 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 75%
- PhD students
- 7
- MS students
- 1
- alumni listed
- 10
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 15 papers2024 · T1 11
- 13 papers2023 · T1 10
T1 venuesOtherVenues: ICASSP, Interspeech, ACL, SLT, ASRU
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language19 papers
- speech17 papers
- Music, audio & sound6 papers
- Recognition, detection & segmentation2 papers
- automatic speech0 papers
Paper list
From the lab homepage.
202415 papers
- ECCV (T1)Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos (opens in a new tab)
- ICASSP (T1)AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models (opens in a new tab)
- ICML (T1)BAT: Learning to Reason About Spatial Sounds with Large Language Models (opens in a new tab)
- Interspeech (T1)Direct Speech Synthesis from Non-Invasive, Neuromagnetic Signals (opens in a new tab)
- Interspeech (T1)Improving Audio Classification with Low-Sampled Microphone Input: An Empirical Study Using Model Self-Distillation (opens in a new tab)
- ICASSP (T1)Integrating Self-Supervised Speech Model with Pseudo Word-Level Targets from Visually-Grounded Speech Model (opens in a new tab)
- Interspeech (T1)Interface Design for Self-Supervised Speech Models (opens in a new tab)
- SLTMeasuring Sound Symbolism in Audio-Visual Models (opens in a new tab)
- ACL (T1)Multimodal Contextualized Semantic Parsing from Speech (opens in a new tab)
- Interspeech (T1)Neural Codec Language Models for Disentangled and Textless Voice Conversion (opens in a new tab)
- SLTSelf-Supervised Speech Models for Word-Level Stuttered Speech Detection (opens in a new tab)
- CVPR (T1)Soundingactions: Learning How Actions Sound from Narrated Egocentric Videos (opens in a new tab)
202313 papers
- ICASSP WorkshopA Dataset for Foreground Speech Analysis with Smartwatches in Everyday Home Environments (opens in a new tab)
- ASRUAudio-Visual Neural Syntax Acquisition” (opens in a new tab)
- ICASSP (T1)C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval (opens in a new tab)
- Interspeech (T1)Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages (opens in a new tab)
- ICASSP (T1)Continual Learning for On-Device Speech Recognition Using Disentangled Conformers (opens in a new tab)
- ICASSP (T1)Learning Audio-Visual Dereverberation (opens in a new tab)
- IROS (T1)Learning to Map Efficiently by Active Echolocation (opens in a new tab)
- ICASSP (T1)M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech-to-Image Retrieval (opens in a new tab)
- Interspeech (T1)Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization (opens in a new tab)
- NERSubject Generalization in Classifying Imagined and Spoken Speech with MEG (opens in a new tab)
- Interspeech (T1)Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model (opens in a new tab)
- ICASSP (T1)Unsupervised Fine-Tuning Data Selection for ASR Using Self-Supervised Speech Models (opens in a new tab)
Where alumni went10 listed
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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