scispace - formally typeset
Search or ask a question
Topic

Viseme

About: Viseme is a research topic. Over the lifetime, 865 publications have been published within this topic receiving 17889 citations.


Papers
More filters
Book
31 Oct 1993
TL;DR: Speech Reference EPFL-CONF-82487 describes the “politics of language” in the developing world and some of the challenges faced by speech interpreters and interpreters in the rapidly changing environment.
Abstract: Keywords: speech Reference EPFL-CONF-82487 Record created on 2006-03-10, modified on 2017-05-10

174 citations

Proceedings ArticleDOI
08 Jun 1998
TL;DR: MikeTalk is presented, a text-to-audiovisual speech synthesizer which converts input text into an audiovisually speech stream and is able to synchronize the visual speech stream with the audio speech stream, and hence give the impression of a photorealistic talking face.
Abstract: We present MikeTalk, a text-to-audiovisual speech synthesizer which converts input text into an audiovisual speech stream. MikeTalk is built using visemes, which are a set of images spanning a large range of mouth shapes. The visemes are acquired from a recorded visual corpus of a human subject which is specifically designed to elicit one instantiation of each viseme. Using optical flow methods, correspondence from every viseme to every other viseme is computed automatically. By morphing along this correspondence, a smooth transition between viseme images may be generated. A complete visual utterance is constructed by concatenating viseme transitions. Finally, phoneme and timing information extracted from a text-to-speech synthesizer is exploited to determine which viseme transitions to use, and the rate at which the morphing process should occur. In this manner, we are able to synchronize the visual speech stream with the audio speech stream, and hence give the impression, of a photorealistic talking face.

162 citations

01 Jan 2004

159 citations

Patent
15 Sep 2006
TL;DR: In this paper, the authors describe a system for text-to-speech synthesis with non-speech sounds such as breaths, which can be identified from pre-recorded speech that can include meta-data such as the grammatical and phrasal structure of words and sounds that precede and succeed nonspeech sounds.
Abstract: Systems, apparatus, methods and computer program products are described for producing text-to-speech synthesis with non-speech sounds. In general, some of the pauses or silences that would otherwise be generated in synthesized speech are instead synthesized as non-speech sounds such as breaths. Non-speech sounds can be identified from pre-recorded speech that can include meta-data such as the grammatical and phrasal structure of words and sounds that precede and succeed non-speech sounds. A non-speech sound can be selected for use in synthesized speech based on the words, punctuation, grammatical and phrasal structure of text from which the speech is being synthesized, or other characteristics.

154 citations

01 Jan 1999
TL;DR: Problems with the phoneme as the basic subword unit in speech recognition are raised, suggesting that finer-grained control is needed to capture the sort of pronunciation variability observed in spontaneous speech.
Abstract: The notion that a word is composed of a sequence of phone segments, sometimes referred to as ‘beads on a string’, has formed the basis of most speech recognition work for over 15 years. However, as more researchers tackle spontaneous speech recognition tasks, that view is being called into question. This paper raises problems with the phoneme as the basic subword unit in speech recognition, suggesting that finer-grained control is needed to capture the sort of pronunciation variability observed in spontaneous speech. We offer two different alternatives – automatically derived subword units and linguistically motivated distinctive feature systems – and discuss current work in these directions. In addition, we look at problems that arise in acoustic modeling when trying to incorporate higher-level structure with these two strategies.

151 citations


Network Information
Related Topics (5)
Vocabulary
44.6K papers, 941.5K citations
78% related
Feature vector
48.8K papers, 954.4K citations
76% related
Feature extraction
111.8K papers, 2.1M citations
75% related
Feature (computer vision)
128.2K papers, 1.7M citations
74% related
Unsupervised learning
22.7K papers, 1M citations
73% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20237
202212
202113
202039
201919
201822