Sciweavers

TREC
1998
13 years 6 months ago
Experiments in Spoken Document Retrieval at CMU
We describe our submission to the TREC-7 Spoken Document Retrieval (SDR) track and the speech recognition and the information retrieval engines. We present SDR evaluation results ...
M. Siegler, Adam L. Berger, Michael J. Witbrock, A...
ACL
1997
13 years 6 months ago
Approximating Context-Free Grammars with a Finite-State Calculus
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...
Edmund Grimley-Evans
ACL
1997
13 years 6 months ago
A Structured Language Model
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
Ciprian Chelba
COLING
2000
13 years 6 months ago
WebDIPLOMAT: A Web-Based Interactive Machine Translation System
We have implenlented a.n interactive, Wel)-based, chat-style machine translation system, SUpl)ort;ing speech recognition and synthesis, local- or thirdparty correction of speech r...
Christopher Hogan, Robert E. Frederking
ANLP
2000
148views more  ANLP 2000»
13 years 6 months ago
Minimizing Word Error Rate in Textual Summaries of Spoken Language
Automatic generation of text summaries for spoken language faces the problem of containing incorrect words and passages due to speech recognition errors. This paper describes comp...
Klaus Zechner, Alex Waibel
ACL
1998
13 years 6 months ago
Beyond N-Grams: Can Linguistic Sophistication Improve Language Modeling?
It seems obvious that a successful model of natural language would incorporate a great deal of both linguistic and world knowledge. Interestingly, state of the art language models...
Eric Brill, Radu Florian, John C. Henderson, Lidia...
NAACL
2003
13 years 6 months ago
Comma Restoration Using Constituency Information
Automatic restoration of punctuation from unpunctuated text has application in improving the fluency and applicability of speech recognition systems. We explore the possibility t...
Stuart M. Shieber, Xiaopeng Tao
NAACL
2003
13 years 6 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
NIPS
2001
13 years 6 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
NIPS
2001
13 years 6 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green