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- Publications
- Influence
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams
- Yaodong Zhang, James R. Glass
- Computer Science
- IEEE Workshop on Automatic Speech Recognition…
- 1 December 2009
In this paper, we present an unsupervised learning framework to address the problem of detecting spoken keywords. Without any transcription information, a Gaussian Mixture Model is trained to label… Expand
Unsupervised Pattern Discovery in Speech
- A. S. Park, James R. Glass
- Computer Science
- IEEE Transactions on Audio, Speech, and Language…
- 2008
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where the end goal is to… Expand
Speech database development at MIT: Timit and beyond
- V. Zue, S. Seneff, James R. Glass
- Computer Science
- Speech Commun.
- 1 August 1990
Abstract Automatic speech recognition by computers can provide the most natural and efficient method of communication between humans and computers. While in recent years high performance speech… Expand
A probabilistic framework for segment-based speech recognition
- James R. Glass
- Computer Science
- Comput. Speech Lang.
- 1 April 2003
Most current speech recognizers use an observation space based on a temporal sequence of measurements extracted from fixed-length ‘‘frames’’ (e.g., Mel-cepstra). Given a hypothetical word or sub-word… Expand
Highway long short-term memory RNNS for distant speech recognition
- Yu Zhang, Guoguo Chen, Dong Yu, K. Yao, S. Khudanpur, James R. Glass
- Computer Science, Engineering
- IEEE International Conference on Acoustics…
- 30 October 2015
In this paper, we extend the deep long short-term memory (DL-STM) recurrent neural networks by introducing gated direct connections between memory cells in adjacent layers. These direct links, called… Expand
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
- Wei-Ning Hsu, Yu Zhang, James R. Glass
- Mathematics, Computer Science
- NIPS
- 22 September 2017
We present a factorized hierarchical variational autoencoder, which learns disentangled and interpretable representations from sequential data without supervision. Specifically, we exploit the… Expand
JUPlTER: a telephone-based conversational interface for weather information
- V. Zue, S. Seneff, +4 authors I. Hetherington
- Computer Science
- IEEE Trans. Speech Audio Process.
- 2000
In early 1997, our group initiated a project to develop JUPITER, a conversational interface that allows users to obtain worldwide weather forecast information over the telephone using spoken… Expand
Robust Speaker Recognition in Noisy Conditions
- J. Ming, Timothy J. Hazen, James R. Glass, D. Reynolds
- Computer Science
- IEEE Transactions on Audio, Speech, and Language…
- 1 July 2007
This paper investigates the problem of speaker identification and verification in noisy conditions, assuming that speech signals are corrupted by environmental noise, but knowledge about the noise… Expand
A Nonparametric Bayesian Approach to Acoustic Model Discovery
- Chia-ying Lee, James R. Glass
- Computer Science
- ACL
- 8 July 2012
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneously segments the… Expand
SemEval-2016 Task 3: Community Question Answering
- Preslav Nakov, Lluís Màrquez i Villodre, +5 authors Bilal Randeree
- Computer Science
- SemEval@NAACL-HLT
- 3 December 2019
This paper describes the SemEval–2016 Task 3 on Community Question Answering, which we offered in English and Arabic. For English, we had three subtasks: Question–Comment Similarity (subtask A),… Expand