Results 1 - 10 of 3,784

Dialogue act modeling for automatic tagging and recognition of conversational speech

by Andreas Stolcke, Klaus Ries, Noah Coccaro, Elizabeth Shriberg, Rebecca Bates, Daniel Jurafsky, Paul Taylor, Rachel Martin, Carol Van Ess-Dykema, Marie Meteer - COMPUTATIONAL LINGUISTICS , 2000
"... We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speec-act-like ..."
Abstract - Cited by 278 (14 self) - Add to MetaCart
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speec-act-like

Interactive Translation of Conversational Speech

by Alex Waibel, Fakultät Für Informatik - Computer , 1996
"... We present JANUS-II, a large scale system effort aimed at interactive spoken language translation. JANUS-II now accepts spontaneous conversational speech in a limited domain in English, German or Spanish and produces output in German, English, Spanish, Japanese and Korean. The challenges of coarticu ..."
Abstract - Cited by 63 (8 self) - Add to MetaCart
We present JANUS-II, a large scale system effort aimed at interactive spoken language translation. JANUS-II now accepts spontaneous conversational speech in a limited domain in English, German or Spanish and produces output in German, English, Spanish, Japanese and Korean. The challenges

On modelling and synthesis of conversational speech

by Eva Strangert, Rolf Carlson - proceedings of Nordic Prosody IX
"... In this paper we discuss some preliminaries for modelling and synthesis of conversational speech basing ourselves first and foremost on insights gained within the Swedish GROG project1 (Carlson et al., 2002). Speech synthesis systems developed so far generate speech mostly modelled ..."
Abstract - Cited by 4 (4 self) - Add to MetaCart
In this paper we discuss some preliminaries for modelling and synthesis of conversational speech basing ourselves first and foremost on insights gained within the Swedish GROG project1 (Carlson et al., 2002). Speech synthesis systems developed so far generate speech mostly modelled

Automatic linguistic segmentation of conversational speech

by Andreas Stolcke, Elizabeth Shriberg - Proc. ICSLP , 1996
"... As speech recognition moves toward more unconstrained domains such as conversational speech, we encounter a need to be able to segment (or resegment) waveforms and recognizer output into linguistically meaningful units, such a sentences. Toward this end, we present a simple automatic segmenter of tr ..."
Abstract - Cited by 98 (22 self) - Add to MetaCart
As speech recognition moves toward more unconstrained domains such as conversational speech, we encounter a need to be able to segment (or resegment) waveforms and recognizer output into linguistically meaningful units, such a sentences. Toward this end, we present a simple automatic segmenter

Linking Transcribed Conversational Speech

by Joseph Malionek, Douglas W. Oard, Abhijeet Sangwan, John H. L. Hansen
"... As large collections of historically significant recorded speech become increasingly available, scholars are faced with the challenge of making sense of what they hear. This paper proposes automatically linking conversational speech to related resources as one way of supporting that sense-making tas ..."
Abstract - Add to MetaCart
As large collections of historically significant recorded speech become increasingly available, scholars are faced with the challenge of making sense of what they hear. This paper proposes automatically linking conversational speech to related resources as one way of supporting that sense

Recognizing disfluencies in conversational speech

by Matthew Lease, Student Member, Mark Johnson, Eugene Charniak - IEEE Transactions on Audio, Speech and Language Processing , 2006
"... Abstract—We present a system for modeling disfluency in conversational speech: repairs, fillers, and self-interruption points (IPs). For each sentence, candidate repair analyses are generated by a stochastic tree adjoining grammar (TAG) noisy-channel model. A probabilistic syntactic language model s ..."
Abstract - Cited by 13 (4 self) - Add to MetaCart
Abstract—We present a system for modeling disfluency in conversational speech: repairs, fillers, and self-interruption points (IPs). For each sentence, candidate repair analyses are generated by a stochastic tree adjoining grammar (TAG) noisy-channel model. A probabilistic syntactic language model

Modeling Disuencies in Conversational Speech

by Man-hung Siu, Mari Ostendorf
"... Conversational speech is notably di#erent from read speech in several ways, particularly in the presence of dis#uencies but also in the frequent use of a small set of words that mark the #ow of the discourse. Dis#uencies are sometimes viewed as a #problem" in language modeling, where most previ ..."
Abstract - Add to MetaCart
Conversational speech is notably di#erent from read speech in several ways, particularly in the presence of dis#uencies but also in the frequent use of a small set of words that mark the #ow of the discourse. Dis#uencies are sometimes viewed as a #problem" in language modeling, where most

Pronunciation Change in Conversational Speech and

by Its Implications For , 2003
"... Pronunciations in spontaneous speech di#er significantly from citation form and pronunciation modeling for automatic speech recognition has received considerable attention in the last few years. Most methods describe alternate pronunciations of a word using multiple entries in a dictionary or using ..."
Abstract - Add to MetaCart
a network of phones, assuming implicitly that a deviation from the canonical pronunciation results in a "complete" change as described by the alternate pronunciation. We investigate this implicit assumption about pronunciation change in conversational speech and demonstrate here

ofConversationalSpeech

by Andreasstolcke Klausries, Noahcoccaro Elizabethshriberg, Rebeccabates Danieljurafsky, Paultaylor Rachelmartin, U. S. Departmentofdefense Bbntechnologies, Computationallinguistics Volume Number
"... andAPOLOGY.Ourmodeldetectsandpredictsdialogueactsbasedonlexical,collocational,and prosodiccues,aswellasonthediscoursecoherenceofthedialogueactsequence.Thedialogue modelisbasedontreatingthediscoursestructureofaconversationasahiddenMarkovmodeland theindividualdialogueactsasobservationsemanatingfromthe ..."
Abstract - Add to MetaCart
, automaticallyrecognizedwordsandprosody,and71%basedonwordtranscripts,comparedto achancebaselineaccuracyof35%andhumanaccuracyof84%)andasmallreductioninword recognitionerror. SpeechTechnologyandResearchLaboratory,SRIInternational,333RavenswoodAve.,MenloPark,CA

Conversational Speech Biometrics

by Stéphane H. Maes, Upendra V. Chaudhari
"... Abstract. This paper discusses a new modality for speaker recognition-conversational biometrics- as a high security voice-based authentication method for E-commerce applications. By combining diverse simultaneous conversational technologies, high accuracy transparent speaker recognition becomes poss ..."
Abstract - Add to MetaCart
Abstract. This paper discusses a new modality for speaker recognition-conversational biometrics- as a high security voice-based authentication method for E-commerce applications. By combining diverse simultaneous conversational technologies, high accuracy transparent speaker recognition becomes
Results 1 - 10 of 3,784