Opendata, web and dolomites

MorSR SIGNED

Integrating morpho-phonology in speech recognition

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MORSR" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

inhibiTOR (2020)

Novel selective mTORC1 inhibitors

Read More  

DOUBLE-TROUBLE (2020)

Replaying the ‘genome duplication’ tape of life: the importance of polyploidy for adaptation in a changing environment

Read More  

AllergenDetect (2019)

Comprehensive allergen detection using synthetic DNA libraries

Read More