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Ronald A. Cole

University of Cincinnati

ORCID: 0009-0007-2646-817X

Publishes on Speech Recognition and Synthesis, Phonetics and Phonology Research, Speech and dialogue systems. 185 papers and 6.3k citations.

185Publications
6.3kTotal Citations

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Top publicationsby citations

Perception and Production of Fluent Speech
Ronald A. Cole|Unknown|2016
Cited by 780

Originally published in 1980, this title looks at the mental processes involved in producing and understanding spoken language. Although there had been several edited volumes on speech in the previous ten years, this volume was unique in that it deals exclusively with perception and production of fluent speech. The chapters in this volume, contributed to by distinguished scientists from psychology, linguistics and computer science, deal with such questions as: How are ideas encoded into sound? How does a speaker plan an utterance? How are words recognized? What is the role of knowledge in speech perception? In short, how do people communicate with each other using speech?

The FATP1–DGAT2 complex facilitates lipid droplet expansion at the ER–lipid droplet interface
Ningyi Xu, Shaobing O. Zhang, Ronald A. Cole et al.|The Journal of Cell Biology|2012
Cited by 284Open Access

At the subcellular level, fat storage is confined to the evolutionarily conserved compartments termed lipid droplets (LDs), which are closely associated with the endoplasmic reticulum (ER). However, the molecular mechanisms that enable ER-LD interaction and facilitate neutral lipid loading into LDs are poorly understood. In this paper, we present evidence that FATP1/acyl-CoA synthetase and DGAT2/diacylglycerol acyltransferase are components of a triglyceride synthesis complex that facilitates LD expansion. A loss of FATP1 or DGAT2 function blocked LD expansion in Caenorhabditis elegans. FATP1 preferentially associated with DGAT2, and they acted synergistically to promote LD expansion in mammalian cells. Live imaging indicated that FATP1 and DGAT2 are ER and LD resident proteins, respectively, and electron microscopy revealed FATP1 and DGAT2 foci close to the LD surface. Furthermore, DGAT2 that was retained in the ER failed to support LD expansion. We propose that the evolutionarily conserved FATP1-DGAT2 complex acts at the ER-LD interface and couples the synthesis and deposition of triglycerides into LDs both physically and functionally.

The OGI multi-language telephone speech corpus
Cited by 253

The OGI Multi-language Telephone Speech Corpus is designed to support research on automatic language identification and multi-language speech recognition. The corpus consists of up to nine separate responses from each caller, ranging from single words to short topic-specific descriptions to 60 seconds of unconstrained spontaneous speech. The utterances were spoken over commercial telephone lines by speakers of English, Farsi (Persian), French, German, Japanese, Korean, Mandarin Chinese, Spanish, Tamil, and Vietnamese. We have completed the initial phase of our data acquisition effort: the recording and initial verification of utterances produced by 100 different speakers in each of the 10 languages. We describe the recording protocol, data collection procedure, ongoing corpus development, preliminary results of the statistical evaluation of the 10 languages, and plans to provide orthographic transcriptions of the speech. INTRODUCTION Research in multi-language recognition systems wou...

Reviewing automatic language identification
Yeshwant K. Muthusamy, Etienne Barnard, Ronald A. Cole|IEEE Signal Processing Magazine|1994
Cited by 244

The Oregon Graduate Institute Multi-language Telephone Speech Corpus (OGI-TS) was designed specifically for language identification research. It currently consists of spontaneous and fixed-vocabulary utterances in 11 languages: English, Farsi, French, German, Hindi, Japanese, Korean, Mandarin, Spanish, Tamil, and Vietnamese. These utterances were produced by 90 native speakers in each language over real telephone lines. Language identification is related to speaker-independent speech recognition and speaker identification in several interesting ways. It is therefore not surprising that many of the recent developments in language identification can be related to developments in those two fields. We review some of the more important recent approaches to language identification against the background of successes in speaker and speech recognition. In particular, we demonstrate how approaches to language identification based on acoustic modeling and language modeling, respectively, are similar to algorithms used in speaker-independent continuous speech recognition. Thereafter, prosodic and duration-based information sources are studied. We then review an approach to language identification that draws heavily on speaker identification. Finally, the performance of some representative algorithms is reported.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>