Previous studies in interlanguage speech intelligibility benefit (ISIB) did not separate the effects of shared knowledge of L1 in non-native talkers from those of listeners through extensive exposure to accented L2 speech, which is crucial to the mechanism underlying ISIB. This preliminary study attempts to tease apart the two by comparing perception accuracy of Mandarin-accented English words ...

Time-Delay Neural Networks (TDNN) have been shown by Waibel et al. [1] to be a good method for the classification of dynamic speech sounds such as voiced stop consonants. In this paper we discuss key issues in the design and training of a TDNN, based on a Multi-Layer Perceptron (MLP), when used for classification of the sets of voiced stop consonants (/b/, /d/, and /g/) and unvoiced stop conson...

We write as the Survivors Justice Project (SJP), a legal/organizing/social work/research collective born in aftermath of 2019 passage New York State Domestic Violence Act (DVSJA), law that allows judges to re-sentence survivors domestic violence currently prison and grant shorter terms or program alternatives upon their initial sentencing. Our work braids litigation, social research, advocacy, ...

Abstract This paper presents a combined analysis of the perception and production study mixed language Light Warlpiri (Australia), which systematically combines elements Warlpiri, Kriol English. The results suggest that phonological inventory consists voiced voiceless series stops affricates, differentiated by Voice Onset Time (VOT) word-initially Constriction Duration (CD) medially, incorporat...

HMM based speech synthesis, where speech parameters are generated directly from HMM models, is a new technique relative to other speech synthesis techniques. In this paper, we propose some modifications to the basic system to improve its quality. We apply a multi-band excitation model. And we use samples extracted from the spectral envelop as spectral parameters. In the synthesis, the voiced an...

This paper presents a way to perform speaker adaptation for automatic speech recognition using the stream weights in a multi-stream setup, which included acoustic models for “Articulatory Features” such as ROUNDED or VOICED. We present supervised speaker adaptation experiments on a spontaneous speech task and compare the above stream-based approach to conventional approaches, in which the model...

In this paper we propose features for automatic detection of voice bar, which is an essential component of voiced stop consonants, in continuous speech. The acoustic-phonetic and production based knowledge such as, the presence of voicing, low strength of excitation compared to other voiced phones and a predominant low-frequency spectral energy, are mapped onto a set of acoustic features that c...