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Paul Mermelstein

Researcher at Nortel

Publications -  27
Citations -  1300

Paul Mermelstein is an academic researcher from Nortel. The author has contributed to research in topics: Formant & Mid vowel. The author has an hindex of 12, co-authored 27 publications receiving 1265 citations.

Papers
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PatentDOI

Speech bandwidth extension method and apparatus

TL;DR: In this paper, a speech bandwidth extension method and apparatus analyzes narrowband speech sampled at 8 kHz using LPC analysis to determine its spectral shape and inverse filtering to extract its excitation signal.
Journal ArticleDOI

Automatic segmentation of speech into syllabic units

TL;DR: It is suggested that inclusion of alternative fluent‐form syllabifications for multisyllabic words and the use of phonological rules for predicting syllabic contractions can further improve agreement between predicted and experimental syllable counts.
Journal ArticleDOI

An articulatory synthesizer for perceptual research

TL;DR: A software articulatory synthesizer, based upon a model developed by P. Mermelstein, has been implemented on a laboratory computer and is designed as a tool for studying the linguistically and perceptually significant aspects of articulatory events.
Patent

Medium access control scheme for data transmission on code division multiple access (cdma) wireless systems

TL;DR: In this paper, a synchronous discontinuous transmission medium access control (SDTX-MAC) method is proposed for more efficient using existing uplink channels by sharing these uplink channel between multiple terminals engaged in bursty data transmission.
Patent

Method and apparatus for improving the voice quality of tandemed vocoders

TL;DR: In this paper, the authors proposed a method and an apparatus for transmitting digitized voice signals in the wireless communications environment, which is capable of converting a compressed speech signal from one format to another format via an intermediate common format, thus avoiding the necessity to successively de-compress voice data to a PCM type digitization and then recompress the voice data.