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MorSR SIGNED

Integrating morpho-phonology in speech recognition

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 MorSR project word cloud

Explore the words cloud of the MorSR project. It provides you a very rough idea of what is the project "MorSR" about.

phoneme    accurate    easily    morphon    flexsr    corpora    training    words    morsr    probabilistic    space    running    universal    written    principles    phonological    isolated    signal    combined    automatic    translate    grained    dialect    lm    contrasts    predictions    remove    model    accuracy    adaptable    speech    interface    incorporate    natural    social    languages    regularities    obtaining    standard    expensive    erc    dramatically    enhanced    fast    linguistic    data    capture    adapting    innovative    machine    secure    barriers    substantial    correct    technological    prohibitively    considerably    representation    instead    subtle    variants    word    spectrum    sequencing    man    delivers    previously    reduce    variation    sufficient    ing    deployment    grammatical    central    requiring    structure    commercial    possibilities    asr    outcome    requirement    strengths    sequences    language    recognition    search    reduces    prediction    probability    acoustic    rely    lost    fine    demonstrated    unlike    improbable    reject   

Project "MorSR" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 149˙919 €
 EC max contribution 149˙919 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2019
 Duration (year-month-day) from 2019-03-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 149˙919.00

Map

 Project objective

Automatic Speech Recognition (ASR) is considered to represent the most natural man-machine interface across the spectrum of technological space. Current commercial ASR systems rely on a ‘rich’ representation of an acoustic signal for words and their variants, resulting in major challenges in the deployment of ASR systems in areas where it could have substantial social impact. Our central goal is to translate research results from the ERC funded project MORPHON into a novel ASR system to remove such barriers. We have previously demonstrated that the use of a universal set of phonological features delivers an isolated word recognition system (FlexSR) with enhanced phoneme recognition accuracy. It is more robust under conditions of non-standard speech, dialect variation and can be easily adapted to new languages. These aspects are problematic for current ASR systems which rely on the probabilistic sequencing of whole words in their language model (LM) based on large written text corpora for training. Obtaining sufficient training data for a new LM is prohibitively expensive. Instead, MorSR will incorporate linguistic information about word-structure to reject improbable words. This reduces the search space and increases the probability of identifying correct words. A major outcome will be an innovative LM based on linguistic principles. Unlike existing approaches, it is based on speech data to capture crucial regularities that are lost in text corpora. Combined with FlexSR's key strengths in identifying subtle phonological contrasts, MorSR will not only enable improved predictions of word sequences in running speech, but also dramatically reduce the requirement for training data when adapting the system to a new language. MorSR's strengths include: (a) prediction of fine-grained possibilities of word sequences based on grammatical principles; (b) requiring considerably less training data; (c) easily adaptable to new languages; and (d) will be fast, secure and accurate.

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The information about "MORSR" are provided by the European Opendata Portal: CORDIS opendata.

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