Elizabeth Shriberg
Biographic Data
| ID | 188162 |
|---|---|
| NAME | Elizabeth Shriberg |
| GIVEN NAMES | Elizabeth |
| FAMILY NAME | Shriberg |
| SIGNATURE | SHRIBERG E |
| AFFILIATIONS | SRI International |
| ORCID | 0009-0004-3779-4956 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 44 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2001 |
| H-INDEX | 3 |
Title Index: Volume 27
Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and prosodic information using hidden Markov models and decision trees. Lexical information is obtained from a speech recognizer, and prosodic features are extracted automatically from speech waveforms. We evaluate our approach on the Broadcast News corpus, u…
To 'errrr' is human: Ecology and Acoustics of Speech Disfluencies
Unlike read or laboratory speech, spontaneous speech contains high rates of disfluencies (e.g. repetitions, repairs, filled pauses, false starts). This paper aims to promote 'disfluency awareness' especially in the field of phonetics -which has much to offer in the way of increasing our understanding of these phenomena. Two broad claims are made, based on analyses of disfluencies in different corpora of spontaneous American English speech. First,…
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as STATEMENT, Question, BACKCHANNEL, Agreement, Disagreement, and Apology. Our model detects and predicts dialogue acts based on lexical, collocational, and prosodic cues, as well as on the discourse coherence of the dialogue act sequence. The dialogue model is based on treating the discourse structure of a conversation as a hi…
Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech
Identifying whether an utterance is a statement, question, greeting, and so forth is integral to effective automatic understanding of natural dialog. Little is known, however, about how such dialog acts (DAs) can be automatically classified in truly natural conversation. This study asks whether current approaches, which use mainly word information, could be improved by adding prosodic information. The study is based on more than 1000 conversation…
Perceptual Restoration of Filtered Vowels with Added Noise
Perceptual restoration is a well-known phenomenon for speech segments in context, but less is known about the effect for stimuli that occur without a linguistic context. The current study investigated restoration in the perception of isolated vowels. Vowels excised from natural speech were lowpass filtered (1000 Hz), which removed the high F 2 characteristic of front vowels. This resulted in high rates of front to back vowel confusions; however, …
To 'errrr' is human: Ecology and Acoustics of Speech Disfluencies
Unlike read or laboratory speech, spontaneous speech contains high rates of disfluencies (e.g. repetitions, repairs, filled pauses, false starts). This paper aims to promote 'disfluency awareness' especially in the field of phonetics -which has much to offer in the way of increasing our understanding of these phenomena. Two broad claims are made, based on analyses of disfluencies in different corpora of spontaneous American English speech. First,…
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as STATEMENT, Question, BACKCHANNEL, Agreement, Disagreement, and Apology. Our model detects and predicts dialogue acts based on lexical, collocational, and prosodic cues, as well as on the discourse coherence of the dialogue act sequence. The dialogue model is based on treating the discourse structure of a conversation as a hi…
Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech
Identifying whether an utterance is a statement, question, greeting, and so forth is integral to effective automatic understanding of natural dialog. Little is known, however, about how such dialog acts (DAs) can be automatically classified in truly natural conversation. This study asks whether current approaches, which use mainly word information, could be improved by adding prosodic information. The study is based on more than 1000 conversation…
Perceptual Restoration of Filtered Vowels with Added Noise
Perceptual restoration is a well-known phenomenon for speech segments in context, but less is known about the effect for stimuli that occur without a linguistic context. The current study investigated restoration in the perception of isolated vowels. Vowels excised from natural speech were lowpass filtered (1000 Hz), which removed the high F 2 characteristic of front vowels. This resulted in high rates of front to back vowel confusions; however, …
Perceptual Restoration of Filtered Vowels with Added Noise
Perceptual restoration is a well-known phenomenon for speech segments in context, but less is known about the effect for stimuli that occur without a linguistic context. The current study investigated restoration in the perception of isolated vowels. Vowels excised from natural speech were lowpass filtered (1000 Hz), which removed the high F 2 characteristic of front vowels. This resulted in high rates of front to back vowel confusions; however, …
Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech
Identifying whether an utterance is a statement, question, greeting, and so forth is integral to effective automatic understanding of natural dialog. Little is known, however, about how such dialog acts (DAs) can be automatically classified in truly natural conversation. This study asks whether current approaches, which use mainly word information, could be improved by adding prosodic information. The study is based on more than 1000 conversation…
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as STATEMENT, Question, BACKCHANNEL, Agreement, Disagreement, and Apology. Our model detects and predicts dialogue acts based on lexical, collocational, and prosodic cues, as well as on the discourse coherence of the dialogue act sequence. The dialogue model is based on treating the discourse structure of a conversation as a hi…
Title Index: Volume 27
Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and prosodic information using hidden Markov models and decision trees. Lexical information is obtained from a speech recognizer, and prosodic features are extracted automatically from speech waveforms. We evaluate our approach on the Broadcast News corpus, u…
To 'errrr' is human: Ecology and Acoustics of Speech Disfluencies
Unlike read or laboratory speech, spontaneous speech contains high rates of disfluencies (e.g. repetitions, repairs, filled pauses, false starts). This paper aims to promote 'disfluency awareness' especially in the field of phonetics -which has much to offer in the way of increasing our understanding of these phenomena. Two broad claims are made, based on analyses of disfluencies in different corpora of spontaneous American English speech. First,…
Computer Science (6 works) · Speech recognition (5 works) · Artificial Intelligence (4 works) · Linguistics (4 works) · Speech and dialogue systems (4 works) · Natural language processing (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Conversation (2 works) · Hidden Markov model (2 works)