C-ORAL-ROM -Prosodic Boundaries for Spontaneous Speech Analysis-

2006 ◽  
pp. 89-113 ◽  
Author(s):  
Massimo Moneglia ◽  
Emanuela Cresti
Keyword(s):  
Spontaneous Speech ◽  
Speech Analysis ◽  
Prosodic Boundaries

scholarly journals Language in individuals with left hemisphere tumors: Is spontaneous speech analysis comparable to formal testing?

2018 ◽  
Vol 40 (7) ◽  
pp. 722-732 ◽  
Author(s):  
Adrià Rofes ◽  
Andrea Talacchi ◽  
Barbara Santini ◽  
Giampietro Pinna ◽  
Lyndsey Nickels ◽  
...  
Keyword(s):  
Left Hemisphere ◽  
Spontaneous Speech ◽  
Speech Analysis ◽  
Formal Testing

scholarly journals Én stavelse, to synsvinkler – børns tilegnelse af dialogiske partikler

2015 ◽  
Vol 48 (48) ◽  
pp. 138
Author(s):  
Ditte Boeg Thomsen
Keyword(s):  
Early Childhood ◽  
Spontaneous Speech ◽  
Speech Analysis ◽  
Group Interactions ◽  
Strong Indicator ◽  
Linguistic Cues ◽  
Complement Clause

Children’s understanding of others as mental beings with feelings and beliefs develops radically during early childhood, and studies in the ontogeny of complement-clause constructions (e.g. Brandt et al. 2010) and evidential affixes (Choi 2006) show that children also begin to acquire linguistic tools for communicating about these perspectives early in their development. However, it is less well known how children acquire viewpoint constructions that are less salient in their input than complement-clause constructions and evidential affixes, i.e. how motivated children are to look for interpersonal meanings without strong linguistic cues. Danish dialogic particles are optional, stressless, utterance-medial monosyllables specifying how interlocutors’ understandings converge and differ (Davidsen-Nielsen 1996). Through a spontaneous-speech analysis of a kindergarten corpus (94 hours, 16 children: 1;10-3;8 to 4;6-6;3 years), I here show that Danish preschoolers begin to use these inconspicuous particles in group interactions during their fourth year of life, and that they develop a nuanced repertoire during the following two years. This is a strong indicator of children’s stable monitoring of perspectives and their motivation to generalize over situations with common perspectival traits – even in the absence of salient linguistic cues.

Diagnosing residual aphasia using spontaneous speech analysis

Aphasiology ◽  
2012 ◽  
Vol 26 (7) ◽  
pp. 953-970 ◽  
Author(s):  
Petra Jaecks ◽  
Martina Hielscher-Fastabend ◽  
Prisca Stenneken
Keyword(s):  
Spontaneous Speech ◽  
Speech Analysis

scholarly journals Prosodic vowel lengthening in a spontaneous speech corpus of Vimeu Picard

2015 ◽  
Vol 57 (1) ◽  
pp. 77-88
Author(s):  
Eric Halicki
Keyword(s):  
Spontaneous Speech ◽  
Vowel Duration ◽  
Speech Corpus ◽  
General Increase ◽  
Romance Language ◽  
Prosodic Word ◽  
Prosodic Boundaries ◽  
Rate Of Speech ◽  
Vowel Lengthening ◽  
Phonological Phrase

Abstract The goal of this paper is to present findings about vowel lengthening at morpho-syntactically defined prosodic boundaries. The data come from a corpus of spontaneous speech from Vimeu Picard, a Gallo- Romance language. A total of 10 672 vowel durations are measured, and 5336 vowel ratios are calculated, providing data for the prosodic word, clitic group, phonological phrase, intonational phrase, and the utterance. A general increase in vowel duration is observed as one ascends the prosodic hierarchy, without adjusting for rate of speech. Significant differences in vowel ratio are found between the clitic group and all other phrases, the prosodic word and the intonational phrase, the phonological phrase and the intonational phrase, and the intonational phrase and the utterance. Contrary to what was expected, vowel ratios at the utterance edge were found to be significantly shorter than vowel ratios at the intonational phrase edge. This may be because pauses are greater for the utterance than for the intonational phrase.

scholarly journals Acoustic Models for the Automatic Identification of Prosodic Boundaries in Spontaneous Speech / Modelos acústicos para a identificação automática de fronteiras prosódicas na fala espontânea

2018 ◽  
Vol 26 (4) ◽  
pp. 1455 ◽  
Author(s):  
Bárbara Helohá Falcão Teixeira ◽  
Maryualê Malvessi Mittmann
Keyword(s):  
Discriminant Analysis ◽  
Random Forest ◽  
Linear Discriminant Analysis ◽  
Speech Rate ◽  
Automatic Segmentation ◽  
Spontaneous Speech ◽  
Automatic Identification ◽  
Acoustic Parameters ◽  
Linear Discriminant ◽  
Prosodic Boundaries

Abstract: This work presents the results of the analysis of multiple acoustic parameters for the construction of a model for the automatic segmentation of speech in tone units. Based on literature review, we defined sets of acoustic parameters related to the signalization of terminal and non-terminal boundaries. For each parameter, we extracted a series of measurements: 6 for speech rate and rhythm; 34 for duration; 65 for fundamental frequency; 4 for intensity and 2 measurements related to pause. These parameters were extracted from spontaneous speech fragments that were previously segmented into tone units, manually performed by 14 human annotators. We used two methods of statistical classification, Random Forest (RF) and Linear Discriminant Analysis (LDA), to generate models for the identification of prosodic boundaries. After several phases of training and testing, both methods were relatively successful in identifying terminal and non-terminal boundaries. The LDA method presented a higher accuracy in the prediction of terminal and non-terminal boundaries than the RF method, therefore the model obtained with LDA was further refined. As a result, the terminal boundary model is based on 20 acoustic measurements and shows a convergence of 80% in relation to boundaries identified by annotators in the speech sample. For non-terminal boundaries, we arrived at three models that, combined, presented a convergence of 98% in relation to the boundaries identified by annotators in the sample.Keywords: speech segmentation; prosodic boundaries; spontaneous speech.Resumo: Este trabalho apresenta os resultados da análise de múltiplos parâmetros acústicos para a construção de um modelo para a segmentação automática da fala em unidades tonais. A partir da investigação da literatura, definimos conjuntos de parâmetros acústicos relacionados à identificação de fronteiras terminais e não terminais. Para cada parâmetro, uma série de medidas foram extraídas: 6 medidas de taxa de elocução e ritmo; 34 de duração; 65 de frequência fundamental; 4 de intensidade e 2 medidas relativas às pausas. Tais parâmetros foram extraídos de fragmentos de fala espontânea previamente segmentada em unidades tonais de forma manual por 14 anotadores humanos. Utilizamos dois métodos de classificação estatística, Random Forest (RF) e Linear Discriminant Analysis (LDA), para gerar modelos de identificação de fronteiras prosódicas. Após diversas fases de treinamentos e testes, ambos os métodos apresentaram sucesso relativo na identificação de fronteiras terminais e não-terminais. O método LDA apresentou maior índice de acerto na previsão de fronteiras terminais e não-terminais do que o RF, portanto, o modelo obtido com este método foi refinado. Como resultado, O modelo para as fronteiras terminais baseia-se em 20 medidas acústicas e apresenta uma convergência de 80% em relação às fronteiras identificadas pelos anotadores na amostra de fala. Para as fronteiras não terminais, chegamos a três modelos que, combinados, apresentaram uma convergência de 98% em relação às fronteiras identificadas pelos anotadores na amostra.Palavras-chave: segmentação da fala; fronteiras prosódicas; fala espontânea.

scholarly journals On Automatic Diagnosis of Alzheimer’s Disease Based on Spontaneous Speech Analysis and Emotional Temperature

2013 ◽  
Vol 7 (1) ◽  
pp. 44-55 ◽  
Author(s):  
K. López-de-Ipiña ◽  
J. B. Alonso ◽  
J. Solé-Casals ◽  
N. Barroso ◽  
P. Henriquez ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Spontaneous Speech ◽  
Speech Analysis ◽  
Automatic Diagnosis

scholarly journals Towards an Hybrid Approach for Semantic Arabic Spontaneous Speech Analysis

2015 ◽  
Vol 90 (1) ◽  
pp. 101-122
Author(s):  
Chahira Lhioui ◽  
Anis Zouaghi ◽  
Mounir Zrigui
Keyword(s):  
Hybrid Approach ◽  
Spontaneous Speech ◽  
Speech Analysis
Sign in / Sign up

Export Citation Format

Share Document