Grant: Discovery Grants Program - Individual
Centre de recherche informatique de Montréal
$17,000.00
Speaker and session variability in speech processing
FY 2008-09
Summary
Two of the principal problems in speech technology
are speaker recognition (who is speaking?) and speech
recognition (what is being said?). These problems
have resisted solution because of the numerous types
of variability in speech. For example, the performance of
speaker recognition systems degrades as a result
of channel and microphone effects and careful modeling
is needed to distinguish these nuisance effects from aspects
of the speech signal which are useful in discriminating
between speakers. In speech recognition on the other hand,
variation between
speakers is considered to be a nuisance and the only type of variability
which is of real interest is phonetic variability.
This proposal is concerned with developing new
statistical methods of modeling speaker and channel variation using
`hidden variables' which I call speaker and channel factors.
The techniques that I am developing are purely statistical so
it is hard to say exactly what the hidden variables represent but
it is reasonable to surmise that they capture features such as
a speaker's age and sex, electrical noise in transmission channels and
ordinary background acoustic noise.
Program
Discovery Grants Program - Individual
Location
Quebec, Canada
Recipient Type
Not-for-profit organization or charity
Type
Grant
Source
NSERC's Awards Data
As published
Application id
105523-2007
Name nom
Kenny, Patrick
Department département
Head Office
Organization id
71
Institution établissement
Centre de recherche informatique de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2007
Award amount
17000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
334
Committee name en
Commun.,Computers & Components
Committee name fr
Communic.,ordin. et composants
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Partie
2
Nb partie
5
Application title
Speaker and session variability in speech processing
Keyword
NA
Application summary
Two of the principal problems in speech technology
are speaker recognition (who is speaking?) and speech
recognition (what is being said?). These problems
have resisted solution because of the numerous types
of variability in speech. For example, the performance of
speaker recognition systems degrades as a result
of channel and microphone effects and careful modeling
is needed to distinguish these nuisance effects from aspects
of the speech signal which are useful in discriminating
between speakers. In speech recognition on the other hand,
variation between
speakers is considered to be a nuisance and the only type of variability
which is of real interest is phonetic variability.
This proposal is concerned with developing new
statistical methods of modeling speaker and channel variation using
`hidden variables' which I call speaker and channel factors.
The techniques that I am developing are purely statistical so
it is hard to say exactly what the hidden variables represent but
it is reasonable to surmise that they capture features such as
a speaker's age and sex, electrical noise in transmission channels and
ordinary background acoustic noise.
