[go: up one dir, main page]

McDougall et al., 2019 - Google Patents

Application of the 'TOFFA'framework to the analysis of disfluencies in forensic phonetic casework

McDougall et al., 2019

View PDF
Document ID
15060670417218754313
Author
McDougall K
Rhodes R
Duckworth M
French P
Kirchhübel C
Publication year
Publication venue
Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia. Canberra, Australia: Australasian Speech Science and Technology Association Inc

External Links

Snippet

Although disfluency features such as filled and silent pauses, repetitions, prolongations and selfinterruptions can be expected to exhibit a range of individual variation, until recently there was little research quantifying this variation for normallyfluent speakers. Previous …
Continue reading at www.internationalphoneticassociation.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00—Speaker identification or verification
    • G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065—Adaptation
    • G10L15/07—Adaptation to the speaker
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/90—Pitch determination of speech signals
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/003—Changing voice quality, e.g. pitch or formants
    • G10L21/007—Changing voice quality, e.g. pitch or formants characterised by the process used
    • G10L21/013—Adapting to target pitch
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups

Similar Documents

Publication Publication Date Title
Hall-Lew Improved representation of variance in measures of vowel merger
Morrison Forensic voice comparison and the paradigm shift
US9368126B2 (en) Assessing speech prosody
Gillespie et al. Cross-Database Models for the Classification of Dysarthria Presence.
Smorenburg et al. The distribution of speaker information in Dutch fricatives/s/and/x/from telephone dialogues
McDougall et al. Individual patterns of disfluency across speaking styles
Jessen Forensic voice comparison
Tena et al. Detection of bulbar involvement in patients with amyotrophic lateral sclerosis by machine learning voice analysis: diagnostic decision support development study
Harel et al. Finding the experts in the crowd: Validity and reliability of crowdsourced measures of children’s gradient speech contrasts
Gradoville et al. The phonetics of sociophonetics: Validating acoustic approaches to Spanish/s
Xiao Wang et al. The effect of speaker sampling in likelihood ratio based forensic voice comparison
Munson et al. An exploration of methods for rating children's productions of sibilant fricatives
Buchholz et al. Crowdsourced assessment of speech synthesis
Huber et al. Automatically analyzing brainstorming language behavior with Meeter
McDougall et al. Application of the ‘TOFFA’framework to the analysis of disfluencies in forensic phonetic casework
Sergidou et al. Frequent-words analysis for forensic speaker comparison
Lai et al. Exploring sources of racial bias in automatic speech recognition through the lens of rhythmic variation
Holliday Perception in black and white: Effects of intonational variables and filtering conditions on sociolinguistic judgments with implications for ASR
Wang et al. Automatic detection of putative mild cognitive impairment from speech acoustic features in mandarin-speaking elders
Martens et al. Automated speech rate measurement in dysarthria
White et al. Optimizing an Automatic Creaky Voice Detection Method for Australian English Speaking Females.
Rose et al. Conversational style mismatch: its effect on the evidential strength of longterm f0 in forensic voice comparison
Stasak et al. Depression prediction via acoustic analysis of formulaic word fillers
Cenceschi et al. The Variability of Vowels' Formants in Forensic Speech
Weingartová et al. Transitions, pauses and overlaps: Temporal characteristics of turn-taking in Czech