Search results for "puheentunnistus"
showing 6 items of 6 documents
ASR in Classroom Today : Automatic Visualization of Conceptual Network in Science Classrooms
2017
Automatic Speech Recognition (ASR) field has improved substantially in the last years. We are in a point never saw before, where we can apply such algorithms in non-ideal conditions such as real classrooms. In these scenarios it is still not possible to reach perfect recognition rates, however we can already take advantage of these improvements. This paper shows preliminary results using ASR in Chilean and Finnish middle and high school to automatically provide teachers a visualization of the structure of concepts present in their discourse in science classrooms. These visualizations are conceptual networks that relate key concepts used by the teacher. This is an interesting tool that gives…
Conceptual network of teachers' talk : Automatic analysis and quantitative measures
2020
Educational field can take advantage of the improvements of Automatic Speech Recognition (ASR), since we can apply ASR algorithms in non-ideal conditions such as real classrooms. In the context of QuIP project, we used ASR systems to translate audio from teachers’ talk into text to study conceptual networks based on what the teacher says during his/her lecture, particularly the key concepts mentioned and their temporal co-occurrence. In the present study, quantitative metrics are provided, such as centrality measures and PageRank, which can be used to analyse the conceptual networks in a broaden way. With a case-study design, two teachers’ talk are described quantitatively and qualitatively…
Interlanguage speech recognition by computer : implications for SLA and computational machines
2001
During the last decade, there has been a rapid growth in research into speech recognition by computer (SRC). Computerised voice recognition systems have been developed which are being used for a variety of applications. However there remain a whole range of issues which have to be elucidated and investigated before SRC can be broadly useful including for language learning purposes. It is well documented that speaker variability caused by accent is one of these issues and one of the major hurdles in accurate speech recognition. Foreign speaker recognition is particularly problematic to program for reasons that our work is beginning to suggest. In this paper we describe and compare the SRC of…
DigiTala research project : automatic speech recognition in assessing L2 speaking
2020
In this article, we discuss the premise of assessing oral language skills with the help of automatic speech recognition. We present the main goals and working methods in DigiTala project (2019–2023) – a research project between University of Helsinki, Aalto University and University of Jyväskylä that aims at developing a digital tool for assessing and practicing oral language skills. Ultimately, this digital tool would enable implementing tasks measuring oral skills into the language tests of the Matriculation Examination. nonPeerReviewed
Tekstinsyöttömenetelmät älypuhelimissa käytettävyyden näkökulmasta
2017
Tekstinsyöttö on ollut pullonkaulana suunniteltaessa tehokkaita sovelluksia älypuhelimiin. Verrattuna pöytätietokoneen täysikokoiseen näppäimistöön älypuhelimen miniatyyrikokoisella näppäimistöllä kirjoittaminen voi olla pahimmillaan tuskastuttavaa. Sähköpostia kirjoitettaessa tai pelkkää internet-osoitetta syötettäessä tulee helposti kirjoitusvirheitä. Tekstinsyöttöä vaikeuttaa sormenpäitä pienemmät näppäimet, virtuaalinäppäimistön näppäintuntuman puute ja muut mobiiliteknologiaan liittyvät asiat. Tämän kandidaatintutkielman tarkoituksena on esitellä ja vertailla nykyaikaisten älypuhelimien yleisimmistä tekstinsyöttömenetelmistä tehtyjen tutkimusten tuloksia käytettävyyden näkökulmasta. Tu…
Developing Automated Feedback on Spoken Performance : Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement
2022
In this study, we used the Many-facet Rasch measurement (MFRM) to explore the quality of ratings as well as the functioning of five analytic rating scales developed for automated assessment of L2 speech. This study is part of a multidisciplinary research project that develops automatic speech recognition (ASR), automated scoring and automated feedback for L2 Finnish and Swedish. The data include the analytic ratings (task completion, fluency, pronunciation, range, accuracy) gathered from human raters (n=14) who assessed L2 Finnish learners’ (n=64) speech samples using Moodle. The four-facet Rasch analysis showed that the raters performed and the rating scales functioned well, although task …