Gopala Anumanchipalli
Associate Professor
Works on speech processing and neural speech decoding, including assistive spoken language technologies and speech disorder diagnosis.
Gopala Anumanchipalli's lab at UC Berkeley works on speech recognition & spoken language, affective & health speech and human-robot interaction & assistive robots. 60 papers since 2023, 40 at top venues, mostly Interspeech and ICASSP. 10 PhD students. 10 alumni, most often to Amazon. Applications close .
At a glance
- papers, 2023–2026
- 16/ year
- at T1 venues
- 67%
- PhD students
- 10
- MS students
- 0
- alumni listed
- 10
Papers by yearfrom the lab homepage, 2023–2026
- 11 papers2026 · T1 8 · collecting
- 18 papers2025 · T1 10
- 19 papers2024 · T1 14
- 12 papers2023 · T1 8
T1 venuesOtherVenues: Interspeech, ICASSP, ASRU, ACL, EMNLP
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language27 papers
- Affective & health speech22 papers
- speech22 papers
- Human-robot interaction & assistive robots3 papers
- speech processing0 papers
Paper list
From the lab homepage.
202611 papers
- Brain CommunicationsArtificial Intelligence-Based Speech Error Detection to Differentiate Primary Progressive Aphasia Variants
- CVPR (T1)Benchmarking Single-Factor Physical Video-to-Audio Generation
- ACL (T1)Evolutionary Strategies at Scale lead to Catastrophic Forgetting
- Findings of EACLGeometric Interpretation of Layer Normalization and a Comparative Analysis with RMSNorm
- Interspeech (T1)HASS: Hierarchical Simulation of Logopenic Aphasic Speech for Scalable PPA Detection
- NeurIPS (T1)HuPER: A Human-Inspired Framework for Phonetic Perception
- ICASSP (T1)K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function
- ICASSP (T1)Scaling Spoken Language Models with Syllabic Speech Tokenization
- ICLR (T1)Speech World Model: Causal State–Action Planning with Explicit Reasoning for Speech
- Interspeech (T1)StyleStream: Real-Time Zero-Shot Voice Style Conversion
- ISMIRTART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription
202518 papers
- Nature NeuroscienceA Streaming Brain-to-Voice Neuroprosthesis to Restore Naturalistic Communication
- Interspeech (T1)Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection
- ICASSP (T1)Audio Texture Manipulation by Exemplar-Based Analogy
- IEEE JSTSPAutomatic Detection of Articulatory-Based Disfluencies in Primary Progressive Aphasia
- Interspeech (T1)Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection
- ACL (T1)Efficient Knowledge Editing via Minimal Precomputation
- ASRUEMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Spoken Dialogue Systems
- ASRUFull-Duplex-Bench: A Benchmark to Evaluate Full-Duplex Spoken Dialogue Models on Turn-Taking Capabilities
- ASRULCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness
- Findings of EMNLPLifelong Knowledge Editing requires Better Regularization
- —Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing
- Interspeech (T1)On the Production and Perception of a Single Speaker's Gender
202419 papers
- EMNLP (T1)A Unified Framework for Model Editing
- IEEE JSTSPCoding Speech through Vocal Tract Kinematics
- APSIPA ASCDeep Speech Synthesis from Multimodal Articulatory Representations
- SLTFast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP
- ACL (T1)LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
- ACL (T1)Model Editing at Scale leads to Gradual and Catastrophic Forgetting
- Interspeech (T1)Multimodal Segmentation for Vocal Tract Modeling
- EMNLP (T1)Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
- ICASSP (T1)SD-HuBERT: Self-Distillation Induces Syllabic Organization in HuBERT
- ECCV (T1)Self-Supervised Audio-Visual Soundscape Stylization
- ICASSP (T1)Self-Supervised Models of Speech Infer Universal Articulatory Kinematics
- Interspeech (T1)Speech After Gender: A Trans-Feminine Perspective on Next Steps for Speech Science and Technology
202312 papers
- ICASSP (T1)A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution
- Nature (T1)A High-Performance Neuroprosthesis for Speech Decoding and Avatar Control
- ICASSP (T1)Articulation GAN: Unsupervised Modeling of Articulatory Learning
- ICASSP (T1)Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization
- Interspeech (T1)Deep Speech Synthesis from MRI-Based Articulatory Representations
- Nature NeuroscienceDissecting Neural Computations of the Human Auditory Pathway using Deep Neural Networks for Speech
- ICASSP (T1)Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech
- ICML (T1)Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
- ASRUPerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models
- ICASSP (T1)Speaker-Independent Acoustic-to-Articulatory Speech Inversion
- ASRUUnconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection
- —UTTS: Unsupervised TTS with Conditional Disentangled Sequential Variational Auto-encoder
Where alumni went10 listed, 50% to industry
Industry 1Academia 1
Most often to
- Amazon
Also to
- Carnegie Mellon University
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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