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Distinguishing Deceptive from Non-Deceptive Speech

https://doi.org/10.7916/d8697c06
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00998267openalex-snapshot
Invited article: Face, voice, and body in detecting deceit
inferredcites →https://doi.org/10.1007/bf01672219openalex-snapshot
Cultural patterns in Dutch and Surinam nonverbal behavior: An analysis of simulated police/citizen encounters
inferredcites →https://doi.org/10.1016/b978-0-12-558704-4.50011-6openalex-snapshot
THE DICTIONARY OF AFFECT IN LANGUAGE
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50023-2openalex-snapshot
Fast Effective Rule Induction
inferredcites →https://doi.org/10.1016/s0167-6393(02)00079-1openalex-snapshot
How to find trouble in communication
inferredcites →https://doi.org/10.1037//0022-3514.35.5.345openalex-snapshot
Pitch changes during attempted deception.
inferredcites →https://doi.org/10.1037/0033-2909.129.1.74openalex-snapshot
Cues to deception.
inferredcites →https://doi.org/10.1080/07421222.2004.11045779openalex-snapshot
A Comparison of Classification Methods for Predicting Deception in Computer-Mediated Communication
inferredcites →https://doi.org/10.1109/hicss.2004.1265083openalex-snapshot
An exploratory study on promising cues in deception detection and application of decision tree
inferredcites →https://doi.org/10.1177/0146167203029005010openalex-snapshot
Lying Words: Predicting Deception from Linguistic Styles
inferredcites →https://doi.org/10.1207/s15326950dp3401_2openalex-snapshot
Interpreting Pauses and Ums at Turn Exchanges
inferredcites →https://doi.org/10.21437/icslp.2002-296openalex-snapshot
Combining acoustic and language information for emotion recognition
inferredcites →https://doi.org/10.21437/icslp.2002-559openalex-snapshot
Prosody-based automatic detection of annoyance and frustration in human-computer dialog
inferredcites →https://doi.org/10.3115/1218955.1219000openalex-snapshot
Predicting student emotions in computer-human tutoring dialogues
inferredcites →https://doi.org/10.4324/9781351308724-5openalex-snapshot
Nonverbal Betrayal of Feeling
inferredcites →https://doi.org/10.4324/9781843926337-20openalex-snapshot
The Reid Technique of interviewing and interrogation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Polygraph-Based Truth Detection System: Leveraging Machine Learning Model on Physiological and Behavioral Data Using Data Fusion
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Deceptive Speech: Clues from Spoken Language
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Impact of Deception Information on Negotiation Dialog Management: A Case Study on Doctor-Patient Conversations
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Moth Monarch Optimization-Based Deep Belief Network in Deception Detection System
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Deception detecting from speech signal using relevance vector machine and non-linear dynamics features
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Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model
inferred← citeshttps://doi.org/10.1017/s0142716424000298openalex-snapshot
Honesty repeats itself: comparing manual and automated coding on the veracity cues total details and redundancy
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Using linguistically defined specific details to detect deception across domains
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Deception detection in text and its relation to the cultural dimension of individualism/collectivism
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An Introduction to Audio and Visual Research and Applications in Marketing
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Convolutional Bidirectional Long Short-Term Memory for Deception Detection With Acoustic Features
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Speech Emotion Recognition Using Deep Learning Techniques: A Review
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Use of Machine Learning for Deception Detection From Spectral and Cepstral Features of Speech Signals
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Detecting Deception in Political Debates Using Acoustic and Textual Features
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Toward End-to-End Deception Detection in Videos
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Automated analysis of interactional synchrony using robust facial tracking and expression recognition
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Combining Prosodic Lexical and Cepstral Systems for Deceptive Speech Detection
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A study of Glottal waveform features for deceptive speech classification
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Detecting Attempts at Humor in Multiparty Meetings
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Detecting deception in interrogation settings
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Lie Detection Based on a DIFCW Radar with Machine Learning
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Detecting and Preventing Online Identity Deception in Social Networking Services
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Real-Time Identity-Deception Detection Techniques for Social Media: Optimizations and Challenges
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Introducing the RODeCAR Database for Deceptive Speech Detection
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Deep learning driven multimodal fusion for automated deception detection
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Decoding the Perception of Sincerity in Dialogues
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Multiple Account Identity Deception Detection in Social Media Using Nonverbal Behavior
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Identity Deception Prevention Using Common Contribution Network Data
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Detecting Deceptive Behavior via Integration of Discriminative Features From Multiple Modalities
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A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
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Cyberbullying Detection in Social Media with Multimodal Data Using Transfer Learning
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Deception detection from written accounts
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Move, and i will tell you who you are
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Lying Through One’s Teeth: A Study on Verbal Leakage Cues
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Identifying Individual Differences in Gender, Ethnicity, and Personality from Dialogue for Deception Detection
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Detecting deception using critical segments
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Combining Acoustic-Prosodic, Lexical, and Phonotactic Features for Automatic Deception Detection
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Prosodic Cues and Answer Type Detection for the Deception Sub-Challenge
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Hybrid Acoustic-Lexical Deep Learning Approach for Deception Detection
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Deep Personality Recognition for Deception Detection
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Acoustic Indicators of Deception in Mandarin Daily Conversations Recorded from an Interactive Game
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Pauses in Deceptive Speech
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