Change search
ReferencesLink to record
Permanent link

Direct link
The KTH Large Vocabulary Continuous Speech Recognition System
KTH, Superseded Departments, Speech, Music and Hearing.
2004 (English)Report (Other academic)
Place, publisher, year, edition, pages
Stockholm: KTH , 2004.
Trita-TMH, ISSN 1104-5787
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-24047OAI: diva2:342982
QC 20100811Available from: 2010-08-11 Created: 2010-08-11 Last updated: 2011-02-04Bibliographically approved
In thesis
1. Efficient Methods for Automatic Speech Recognition
Open this publication in new window or tab >>Efficient Methods for Automatic Speech Recognition
2003 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

This thesis presents work in the area of automatic speech recognition (ASR). The thesis focuses on methods for increasing the efficiency of speech recognition systems and on techniques for efficient representation of different types of knowledge in the decoding process. In this work, several decoding algorithms and recognition systems have been developed, aimed at various recognition tasks.

The thesis presents the KTH large vocabulary speech recognition system. The system was developed for online (live) recognition with large vocabularies and complex language models. The system utilizes weighted transducer theory for efficient representation of different knowledge sources, with the purpose of optimizing the recognition process.

A search algorithm for efficient processing of hidden Markov models (HMMs) is presented. The algorithm is an alternative to the classical Viterbi algorithm for fast computation of shortest paths in HMMs. It is part of a larger decoding strategy aimed at reducing the overall computational complexity in ASR. In this approach, all HMM computations are completely decoupled from the rest of the decoding process. This enables the use of larger vocabularies and more complex language models without an increase of HMM-related computations.

Ace is another speech recognition system developed within this work. It is a platform aimed at facilitating the development of speech recognizers and new decoding methods.

A real-time system for low-latency online speech transcription is also presented. The system was developed within a project with the goal of improving the possibilities for hard-of-hearing people to use conventional telephony by providing speech-synchronized multimodal feedback. This work addresses several additional requirements implied by this special recognition task.

Place, publisher, year, edition, pages
Stockholm: KTH, 2003. iii, 65 p.
Trita-TMH, ISSN 1104-5787 ; 2003:14
speech recognition, algorithms, hidden markov models, HMM, weigted finite-state transducers
urn:nbn:se:kth:diva-3675 (URN)91-7283-657-1 (ISBN)
Public defence
2003-12-17, 00:00
QC 20100811Available from: 2003-12-11 Created: 2003-12-11 Last updated: 2010-08-12Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Seward, Alexander
By organisation
Speech, Music and Hearing
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 18 hits
ReferencesLink to record
Permanent link

Direct link