• Publications
  • Influence
An approach to real-time magnetic resonance imaging for speech production.
Magnetic resonance imaging (MRI) has served as a valuable tool for studying static postures in speech production. Now, recent improvements in temporal resolution are making it possible to examine theExpand
  • 284
  • 12
  • PDF
Sparse representation features for speech recognition
In this paper, we explore the use of exemplar-based sparse representations (SRs) to map test features into the linear span of training examples. We show that the frame classification accuracy withExpand
  • 53
  • 8
  • PDF
System combination and score normalization for spoken term detection
Spoken content in languages of emerging importance needs to be searchable to provide access to the underlying information. In this paper, we investigate the problem of extending data fusionExpand
  • 61
  • 6
  • PDF
Split-lexicon based hierarchical recognition of speech using syllable and word level acoustic units
Most speech recognition systems, especially LVCSR, use context dependent phones as the basic acoustic unit for recognition. The primary motive for this is the relative ease with which phone basedExpand
  • 30
  • 6
  • PDF
Query-by-example Spoken Term Detection For OOV terms
The goal of Spoken Term Detection (STD) technology is to allow open vocabulary search over large collections of speech content. In this paper, we address cases where search term(s) of interestExpand
  • 85
  • 5
  • PDF
Scaling shrinkage-based language models
In [1], we show that a novel class-based language model, Model M, and the method of regularized minimum discrimination information (rMDI) models outperform comparable methods on moderate amounts ofExpand
  • 43
  • 5
  • PDF
Bidirectional recurrent neural network language models for automatic speech recognition
Recurrent neural network language models have enjoyed great success in speech recognition, partially due to their ability to model longer-distance context than word n-gram models. In recurrent neuralExpand
  • 37
  • 4
Building topic specific language models from webdata using competitive models
The ability to build topic specific language models, rapidly and with minimal human effort, is a critical need for fast deployment and portability of ASR across different domains. The World Wide WebExpand
  • 65
  • 3
  • PDF
Towards using hybrid word and fragment units for vocabulary independent LVCSR systems
This paper presents the advantages of augmenting a word-based system with sub-word units as a step towards building open vocabulary speech recognition systems. We show that a hybrid system whichExpand
  • 42
  • 3
  • PDF
End-to-end ASR-free keyword search from speech
End-to-end (E2E) systems have achieved competitive results compared to conventional hybrid hidden Markov model (HMM)-deep neural network based automatic speech recognition (ASR) systems. Such E2EExpand
  • 22
  • 3