Resumen
This paper introduces Vocaliza, an application for computer-
aided speech therapy in Spanish language based on the use of
Human Language Technologies (HLT). The objective of this
application is to help the daily work of the speech therapists
that train the linguistic skills of Spanish speakers with differ-
ent speech impairments, working at three levels of language:
phonological, semantic and syntactic. Furthermore, Vocaliza is
designed to enable those who suffer speech disorders to train
their communication capabilities in an easy and entertaining
way, with little or no supervision once a speech therapist has
configured the application for the impairment of the user.
The HLT systems used in the application are Automatic
Speech Recognition (ASR), speech synthesis, speaker adapta-
tion and utterance verification. The ability of these technolo-
gies, namely ASR and speaker adaptation, to actually help users
to improve their language is shown by means of the accuracy of
the ASR system to detect correct and incorrect utterances ac-
cording to a manual labeling of a recently acquired database
containing impaired speech. The results show that accuracy
reaches 87.66% when using speaker adaptation, due to its abil-
ity to model the inter speaker variability of every speaker but
not their pronunciation errors.
aided speech therapy in Spanish language based on the use of
Human Language Technologies (HLT). The objective of this
application is to help the daily work of the speech therapists
that train the linguistic skills of Spanish speakers with differ-
ent speech impairments, working at three levels of language:
phonological, semantic and syntactic. Furthermore, Vocaliza is
designed to enable those who suffer speech disorders to train
their communication capabilities in an easy and entertaining
way, with little or no supervision once a speech therapist has
configured the application for the impairment of the user.
The HLT systems used in the application are Automatic
Speech Recognition (ASR), speech synthesis, speaker adapta-
tion and utterance verification. The ability of these technolo-
gies, namely ASR and speaker adaptation, to actually help users
to improve their language is shown by means of the accuracy of
the ASR system to detect correct and incorrect utterances ac-
cording to a manual labeling of a recently acquired database
containing impaired speech. The results show that accuracy
reaches 87.66% when using speaker adaptation, due to its abil-
ity to model the inter speaker variability of every speaker but
not their pronunciation errors.
| Idioma original | Inglés |
|---|---|
| Número de páginas | 4 |
| Publicación | Proceedings of the LangTech2008 |
| Estado | Publicada - 2008 |
| Publicado de forma externa | Sí |