The purpose of the study is to describe forms code-switching in speech border community groups Nunukan and Malinau who use two or more languages their daily communication find factors that determine groups. This research method sociolinguistic field employing a qualitative descriptive design. data sources are organizations Malinau. consists primary spontaneous from various contexts events by se...

We present ‘webASR’, an online interface to our state-of-the-art automatic speech recognition (ASR) systems. It aims to provide the wider scientific research community with an interface to speech transcription for domains and applications where the generation of such transcripts was not previously feasible. The webASR interface allows the upload of audio files and, in turn, the download of auto...

The workshop that gave rise to the following papers was organised under the auspices of the UK Speech and Language Technology Club (SALT Club) at UMIST, Manchester, in July 1990. The SALT Club, sponsored by the Information Technology Division of the Department of Trade and Industry, was formed to help bring together researchers in the Speech and Natural Language communities, to discuss common i...

Although the social medium Twitter grants users freedom of speech, its instantaneous nature and retweeting features also amplify hate speech. Because Twitter has a sizeable black constituency, racist tweets against blacks are especially detrimental in the Twitter community, though this effect may not be obvious against a backdrop of half a billion tweets a day. We apply a supervised machine lea...

We developed a system with which children who have difficulty correctly pronouncing words to practice their pronunciation. It allows exercises to be individually tailored to each child’s pronunciation needs. Three speech evaluation methods were prepared for each type of presented words: automatic speech recognition, phonemic discrimination between the correct and the probable error pronunciatio...

We describe our research direction to build a 3-D articulatory speech synthesizer. We are employing a usercentred design approach to develop the synthesizer. The end result will be added to the open-source research community. The system infrastructure we are planning is expected to allow for easy integration of current and future research results in vocal tract modelling and vocal sound product...

A Support Vector Machine (SVM) is a promising machine learning technique that has generated a lot of interest in the pattern recognition community in recent years. The greatest asset of an SVM is its ability to construct nonlinear decision regions in a discriminative fashion. This paper describes an application of SVMs to two speech data classification experiments: 11 vowels spoken in isolation...

One of the fundamental issues in developmental phonology is why some speech sounds are acquired early whereas others are acquired much later (e.g. Prather, Hendrick, and Kern, 1975; Hare, 1983; Dyson, 1988; Smit, Hand, Freilinger, and Bernthal, 1990). We speculate that there are at least two issues at play: articulatory control and learning the phonology of the native language. With respect to ...

The intersection of pervasive technology and verbal communication has resulted in the creation Automatic Speech Recognition Systems (ASRs), which automate conversion spontaneous speech into texts. ASR enables human-computer interactions through is rapidly integrated our daily lives. However, research studies on current technologies have reported unfulfilled social inclusivity accentuated biases...