Selouani et al., 2012 - Google Patents
Comparing Arabic rhythm metrics among other languagesSelouani et al., 2012
- Document ID
- 7407515771035990591
- Author
- Selouani S
- Alotaibi Y
- Pan L
- Publication year
- Publication venue
- 2012 International Conference on Audio, Language and Image Processing
External Links
Snippet
This paper addresses a calculation and analysis of metrics for the quantification of speech rhythm by using WESTPOINT. Some variables are measured and calculated in detail. Firstly we propose a new Unified Pair-wise Variability Indices system (UPVI) that contains the …
- 230000033764 rhythmic process 0 title abstract description 36
Classifications
-
- 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
- G10L25/48—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
- 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
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- 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
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- 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
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jing et al. | Prominence features: Effective emotional features for speech emotion recognition | |
US9368126B2 (en) | Assessing speech prosody | |
Cummins et al. | Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech | |
Andreeva et al. | Differences of pitch profiles in Germanic and Slavic languages | |
Origlia et al. | Continuous emotion recognition with phonetic syllables | |
Villarreal et al. | From categories to gradience: Auto-coding sociophonetic variation with random forests | |
Yusnita et al. | Malaysian English accents identification using LPC and formant analysis | |
Yin et al. | Automatic cognitive load detection from speech features | |
Cangemi et al. | Tempo and the perception of sentence modality | |
Koudounas et al. | Italic: An italian intent classification dataset | |
Young | The sociolectal and stylistic variability of rhythm in Stockholm | |
Town et al. | The role of spectral cues in timbre discrimination by ferrets and humans | |
Selouani et al. | Comparing Arabic rhythm metrics among other languages | |
Dhamyal et al. | The phonetic bases of vocal expressed emotion: natural versus acted | |
Lin et al. | Improving L2 English rhythm evaluation with automatic sentence stress detection | |
Li et al. | Generational differences in production of a tonal contrast in Hong Kong Cantonese | |
Bang et al. | Compensatory strategies in the developmental patterns of English/s: Gender and vowel context effects | |
Jamil et al. | Influences of age in emotion recognition of spontaneous speech: A case of an under-resourced language | |
Qiao et al. | The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech | |
Arantes et al. | Quantifying Fundamental Frequency Modulation as a Function of Language, Speaking Style and Speaker. | |
Pan et al. | Being a round/y: An acoustic description of high front vowels in Singapore Mandarin elicited by speakers with different bilingual balance in Mandarin and English | |
Berger et al. | Pitch accent position, peak height, and prominence level relative to accented vowel onset on YouTube | |
Fejlová et al. | Formant contours in Czech vowels: speaker-discriminating potential. | |
Przedlacka et al. | Continuation rises in pre-1974 Cypriot Greek | |
Dong et al. | Automatic assessment of pronunciation quality |