ContinuousSpeechRecognition

task ID: continuousspeechrecognition

Related Papers

A Rapid Match Algorithm for Continuous Speech Recognition

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

This paper describes an algorithm for performing rapid match on continuous speech that makes it possible to rec- ognize sentences from an 842 word vocabulary on a desk- top 33 …...

7248

A Tree.Trellis Based Fast Search for Finding the N Best Sentence Hypotheses in Continuous Speech Recognition

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

In this paper a new, tree-trellis based fast search for finding the N best sentence hypotheses in continuous speech recognition is proposed. The search consists of two parts: a forward, …...

7280

Algorithms for an Optimal A* Search and Linearizing the Search in the Stack Decoder*

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

The stack decoder is an attractive algorithm for con- trolling the acoustic and language model matching in a continuous speech recognizer. It implements a best-first tree search of the language …...

7243

Efficient, High-Performance Algorithms for N-Best Search

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

We present two efficient search algorithms for real-time spo- ken language systems. The first called the Word-Dependent N-Best algorithm is an improved algorithm for finding the top N sentence hypotheses. …...

7281

Improved Acoustic Modeling for Continuous Speech Recognition

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

We report on some recent improvements to an HMM- based, continuous speech recognition system which is being developed at AT&T Bell Laboratories. These advances, which include the incorporation of inter-word, …...

7221

The Dragon Continuous Speech Recognition System: A Real-Time Implementation

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

We present a 1000-word continuous speech recognition (CSR) system that operates in real time on a personal computer (PC). The system, designed for large vocabulary natural language tasks, makes use …...

7267

Towards Environment-Independent Spoken Language Systems

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

In this paper we discuss recent results from our efforts to make SPHINX, the CMU continuous-speech speaker- independent recognition system, robust to changes in the environment. To deal with differences …...

7257

Continuous Speech Recognition Using Segmental Neural Nets

Authors: nan

Publication: TIPSTER (1991)

DOI: nan

We present the concept of a "Segmental Neural Net" (SNN) for phonetic modeling in continuous speech recognition. The SNN takes as input all the frames of a phonetic segment and …...

7336

An A* algorithm for very large vocabulary continuous speech recognition

Authors: nan

Publication: TIPSTER (1992)

DOI: nan

We present a new search algorithm for very large vocabulary contin- uous speech recognition. Continuous speech recognition with this algorithm is only about 10 times more computationally expensive than isolated …...

12908

Spontaneous Speech Collection for the CSR Corpus

Authors: nan

Publication: TIPSTER (1992)

DOI: nan

As part of a pilot data collection for DARPA's Continuous Speech Recognition (CSR) speech corpus, SRI International experi- mented with the collection of spontaneous speeoh material. The bulk of the …...

12870

Tree-Based State Tying for High Accuracy Modelling

Authors: nan

Publication: TIPSTER (1994)

DOI: nan

The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance be- tween model complexity and available training data. For large vocabulary systems requiring …...

13167

Web Augmentation of Language Models for Continuous Speech Recognition of SMS Text Messages

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

In this paper, we present an efficient query selection algorithm for the retrieval of web text data to augment a statistical language model (LM). The number of retrieved rel- evant …...

43428

SAVAS: Collecting, Annotating and Sharing Audiovisual Language Resources for Automatic Subtitling

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractThis paper describes the data collection, annotation and sharing activities carried out within the FP7 EU-funded SAVAS project. The project aims to collect, share and reuse audiovisual language resources from …...

16934