Glass, James

AST: Audio Spectrogram Transformer

Gong, Y., Chung, Y.-A., & Glass, J. (2021) · Interspeech 2021

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 1,159

What do Neural Machine Translation Models Learn about Morphology?

Belinkov, Y., Durrani, N., Dalvi, F., Sajjad, H., & Glass, J. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 307

Ssast: Self-supervised audio spectrogram transformer

Gong, Y., Lai, C.-I., Chung, Y.-A., & Glass, J. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 294

PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation

Gong, Y., Chung, Y.-A., & Glass, J. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 164

Generative Pre-Training for Speech with Autoregressive Predictive Coding

Chung, Y.-A., & Glass, J. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 157

Vector-Quantized Autoregressive Predictive Coding

Chung, Y.-A., Tang, H., & Glass, J. (2020) · Interspeech 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 97

14.4 A scalable speech recognizer with deep-neural-network acoustic models and voice-activated power gating

Price, M., Glass, J., & Chandrakasan, A. P. (2017) · 2017 IEEE International Solid-State Circuits Conference (ISSCC)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 86

Joint Audio and Speech Understanding

Gong, Y., Liu, A. H., Luo, H., Karlinsky, L., & Glass, J. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 67

Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers

Gong, Y., Khurana, S., Karlinsky, L., & Glass, J. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 65

Towards interpretable speech biomarkers: exploring MFCCs

Tracey, B., Volfson, D., Glass, J., Haulcy, R., Kostrzebski, M., Adams, J., Kangarloo, T., Brodtmann, A., Dorsey, E. R., & Vogel, A. (2023) · Scientific Reports

Voice and Speech DisordersPhonocardiography and Auscultation Techniques

Cited by 46

Listen, Think, and Understand

Gong, Y., Luo, H., Liu, A. H., Karlinsky, L., & Glass, J. (2023) · arXiv

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 43

Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition

Gong, Y., Yu, J., & Glass, J. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 43

Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Hsieh, C.-Y., Chuang, Y.-S., Li, C.-L., Wang, Z., Le, L., Kumar, A., Glass, J., Ratner, A., Lee, C.-Y., Krishna, R., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 31

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Chuang, Y.-S., Xie, Y., Luo, H., Kim, Y., Glass, J., & He, P. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 29

Use of Natural Spoken Language With Automated Mapping of Self-reported Food Intake to Food Composition Data for Low-Burden Real-time Dietary Assessment: Method Comparison Study

Taylor, S., Korpusik, M., Das, S., Gilhooly, C., Simpson, R., Glass, J., & Roberts, S. (2021) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsNutrition, Health and Food Behavior

Cited by 26

Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Hsieh, C.-Y., Chuang, Y.-S., Li, C.-L., Wang, Z., Le, L. T., Kumar, A., Glass, J., Ratner, A., Lee, C.-Y., Krishna, R., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models

Chuang, Y.-S., Cohen-Wang, B., Shen, S. Z., Wu, Z., Xu, H., Lin, X. V., Glass, J., Li, S.-W., & Yih, W.-T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0