Melodic Analysis of Speech Method applied to Spanish and Catalan

In this paper, we present the Melodic Analysis of Speech method (MAS) that enables us to carry out complete and objective descriptions of a language's intonation, from a phonetic (melodic) point of view as well as from a phonological point of view. It is based on the acoustic-perceptive method by Cantero (2002), which has already been used in research on prosody in different languages. In this case, we present the results of its application in Spanish and Catalan.

ATiPAP : desenvolupament de materials docents amb suport multimedia pels continguts d'Atenció, Percepció Auditiva i de la Parla adaptats als crédits ECTS i a l'EEES dins l'ensenyament de Psicologia

El projecte ha permès finançar el suport tècnic necessari per a poder desenvolupar materials informatitzats corresponents a activitats teòrico-pràctiques de l’assignatura troncal de la llicenciatura de Psicologia (actualment també en el Grau) “Percepció i Atenció”. Els materials desenvolupats corresponen a diferents punts del programa de l’assignatura i són els següents: demostració de la tècnica d’ombrejat per l’anàlisi de l’atenció focalitzada; parpelleig atencional en sèries de presentacions ràpides d’informació visual (RSVP); canvis encoberts de l’atenció i el mecanisme d’inhibició de retorn; efectes dels filtrats sobre la percepció de la parla i la música; il·lusions auditives i els principis d’organització de la informació sonora complexa; la percepció categòrica dels sons de la parla i la naturalesa continua del processament lèxic (paradigma d’obertura successiva o gating). Per totes aquelles activitats amb continguts de llenguatge, s’han desenvolupat dues versions equivalents, catalana i castellana, per permetre que els estudiants fessin la pràctica en la seva llengua dominant. A la primera fase del projecte, al llarg del curs 2006-07, es van preparar els materials i la programació de les diferents pràctiques i es van poder identificar alguns problemes que es van solucionar posteriorment. En el curs 2007-08 totes les activitats de pràctiques ja es van fer accessibles als estudiants (Plataforma Moodle, Campus Virtual) i la valoració sobre el seu funcionament, feta pels estudiants mitjançant qüestionaris, va ser satisfactòria en més d’un 95% dels casos (els únics problemes detectats estaven relacionats amb les característiques dels ordinadors del usuaris i del navegador utilitzat per accedir als materials). La valoració de les activitats per part dels estudiants va ser globalment positiva i, en el seu ús continuat al llarg dels cursos 2008-09 i 2009-10, s’ha observat una participació creixent (accés voluntari a les activitats) i un aprofitament millor de la informació presentada, que es tradueix en millores en les puntuacions obtingudes en les avaluacions de l'assignatura.

La metàfora com a procés cognitiu : el futbol és una guerra

Tradicionalment, la metàfora ha estat estudiada pels filòlegs com una figura retòrica utilitzada sobretot en la poesia. Recentment, però, la lingüística cognitiva s'ha interessat per la metàfora. Actualment, a partir dels estudis de Lakoff i Johnson, s'ha demostrat que aquesta figura retòrica no només és una figura estilística, sinó que, a més a més, és reflex d'un procés cognitiu que impregna tot el nostre llenguatge i pensament. Els humans en la nostra vida quotidiana, constantment, conceptualitzem àrees més abstractes de la nostra experiència mitjançant dominis més concrets.D'entrada, farem un breu recorregut sobre la història dels estudis que tracten la metàfora: partirem dels clàssics i arribarem al segle XX amb els estudis de Lakoff i Johnson. En segon lloc, explicarem la metàfora dins el marc teòric de la semàntica cognitiva. En tercer lloc, estudiarem el llenguatge bèl·lic utilitzat per parlar del futbol. Finalment, analitzarem els tres tipus de metàfores - estructurals, ontològiques i orientatives - que podem trobar en els diaris esportius, centrant-nos, però, en la metàfora estructural EL FUTBOL ÉS UNA GUERRA. L'objectiu del nostre estudi és analitzar metàfores que usem en la nostra vida quotidiana per parlar de l'esport, cenyint-nos en el futbol. Concretament, la nostra anàlisi se centrarà, dins de l'àmbit dels mitjans de comunicació, en els diaris esportius. Aquest treball no només hauria de servir per adonar-nos de les metàfores que impregnen el món dels esports, sinó que, a més a més, hauria de servir per adonar-nos dels motius pels quals fem servir aquestes metàfores i no unes altres, uns motius que, com ens mostren els estudiosos Lakoff i Johnson, estan relacionats amb la nostra cultura i la relació que mantenim amb el món que ens envolta.

De què vas, tío? Gènere i llengua en la cultura juvenil

L'existència dels parlars juvenils ens recorda el fet que totes les formes de cultura, i les identitats mateixes de les persones, van estretament lligades a les maneres de parlar que els són pròpies. El que segueix és doncs una reflexió sobre aquest lligam, aquestes relacions tan estretes entre les cultures i les identitats per una banda, i les maneres de parlar i les llengües per l'altra. La primera part del llibre tracta sobre les diverses identitats de gènere que vaig detectar dins els grups estudiats. El lector es preguntarà potser què és això de les identitats de gènere, i per què són tan importants. Els estudis del gènere tracten sobre el funcionament de la divisió sexual en la nostra societat, és a dir, sobre els diversos papers que homes i dones tenen en el mercat laboral, en la política, en la família, etc. A partir de tots aquests conceptes, a la segona part del llibre procediré a explicar quines identitats i ideologies anaven associades a les diverses formes de parlar (argot juvenil, accent andalús) i a l'ús de les llengües catalana i castellana. I aquí es veurà també perquè és important estudiar les diverses veus que apareixen en la nostra parla.

A non-linear VAD for noisy environments

This paper deals with non-linear transformations for improving the performance of an entropy-based voice activity detector (VAD). The idea to use a non-linear transformation has already been applied in the field of speech linear prediction, or linear predictive coding (LPC), based on source separation techniques, where a score function is added to classical equations in order to take into account the true distribution of the signal. We explore the possibility of estimating the entropy of frames after calculating its score function, instead of using original frames. We observe that if the signal is clean, the estimated entropy is essentially the same; if the signal is noisy, however, the frames transformed using the score function may give entropy that is different in voiced frames as compared to nonvoiced ones. Experimental evidence is given to show that this fact enables voice activity detection under high noise, where the simple entropy method fails.

EsPal: One-stop shopping for Spanish word properties

This article introduces EsPal: a Web-accessible repository containing a comprehensive set of properties of Spanish words. EsPal is based on an extensible set of data sources, beginning with a 300 million token written database and a 460 million token subtitle database. Properties available include word frequency, orthographic structure and neighborhoods, phonological structure and neighborhoods, and subjective ratings such as imageability. Subword structure properties are also available in terms of bigrams and trigrams, bi-phones, and bi-syllables. Lemma and part-of-speech information and their corresponding frequencies are also indexed. The website enables users to either upload a set of words to receive their properties, or to receive a set of words matching constraints on the properties. The properties themselves are easily extensible and will be added over time as they become available. It is freely available from the following website: http://www.bcbl.eu/databases/espal

Nonlinear prediction based on score function

The linear prediction coding of speech is based in the assumption that the generation model is autoregresive. In this paper we propose a structure to cope with the nonlinear effects presents in the generation of the speech signal. This structure will consist of two stages, the first one will be a classical linear prediction filter, and the second one will model the residual signal by means of two nonlinearities between a linear filter. The coefficients of this filter are computed by means of a gradient search on the score function. This is done in order to deal with the fact that the probability distribution of the residual signal still is not gaussian. This fact is taken into account when the coefficients are computed by a ML estimate. The algorithm based on the minimization of a high-order statistics criterion, uses on-line estimation of the residue statistics and is based on blind deconvolution of Wiener systems [1]. Improvements in the experimental results with speech signals emphasize on the interest of this approach.

Improving Pitch Tracking Performance in Hard Noise Conditions by a Preprocessing Based on Mathematical Morphology

In this paper we show how a nonlinear preprocessing of speech signal -with high noise- based on morphological filters improves the performance of robust algorithms for pitch tracking (RAPT). This result happens for a very simple morphological filter. More sophisticated ones could even improve such results. Mathematical morphology is widely used in image processing and has a great amount of applications. Almost all its formulations derived in the two-dimensional framework are easily reformulated to be adapted to one-dimensional context

EsPal: One-stop shopping for Spanish word properties

This article introduces EsPal: a Web-accessible repository containing a comprehensive set of properties of Spanish words. EsPal is based on an extensible set of data sources, beginning with a 300 million token written database and a 460 million token subtitle database. Properties available include word frequency, orthographic structure and neighborhoods, phonological structure and neighborhoods, and subjective ratings such as imageability. Subword structure properties are also available in terms of bigrams and trigrams, bi-phones, and bi-syllables. Lemma and part-of-speech information and their corresponding frequencies are also indexed. The website enables users to either upload a set of words to receive their properties, or to receive a set of words matching constraints on the properties. The properties themselves are easily extensible and will be added over time as they become available. It is freely available from the following website: http://www.bcbl.eu/databases/espal

Semantic domain and grammatical class effects in the picture-word interference paradigm

The role of grammatical class in lexical access and representation is still not well understood. Grammatical effects obtained in picture-word interference experiments have been argued to show the operation of grammatical constraints during lexicalization when syntactic integration is required by the task. Alternative views hold that the ostensibly grammatical effects actually derive from the coincidence of semantic and grammatical differences between lexical candidates. We present three picture-word interference experiments conducted in Spanish. In the first two, the semantic relatedness (related or unrelated) and the grammatical class (nouns or verbs) of the target and the distracter were manipulated in an infinitive form action naming task in order to disentangle their contributions to verb lexical access. In the third experiment, a possible confound between grammatical class and semantic domain (objects or actions) was eliminated by using action-nouns as distracters. A condition in which participants were asked to name the action pictures using an inflected form of the verb was also included to explore whether the need of syntactic integration modulated the appearance of grammatical effects. Whereas action-words (nouns or verbs), but not object-nouns, produced longer reaction times irrespective of their grammatical class in the infinitive condition, only verbs slowed latencies in the inflected form condition. Our results suggest that speech production relies on the exclusion of candidate responses that do not fulfil task-pertinent criteria like membership in the appropriate semantic domain or grammatical class. Taken together, these findings are explained by a response-exclusion account of speech output. This and alternative hypotheses are discussed.

Real-Time implementation of a blind authentication method using self-synchronous speech watermarking

A blind speech watermarking scheme that meets hard real-time deadlines is presented and implemented. In addition, one of the key issues in these block-oriented watermarking techniques is to preserve the synchronization. Namely, to recover the exact position of each block in the mark extract process. In fact, the presented scheme can be split up into two distinguished parts, the synchronization and the information mark methods. The former is embedded into the time domain and it is fast enough to be run meeting real-time requirements. The latter contains the authentication information and it is embedded into the wavelet domain. The synchronization and information mark techniques are both tunable in order to allow a con gurable method. Thus, capacity, transparency and robustness can be con gured depending on the needs. It makes the scheme useful for professional applications, such telephony authentication or even sending information throw radio applications.

On the origin and scope of the second language speech production disadvatage

Los hablantes bilingües tienen un acceso al léxico más lento y menos robusto que los monolingües, incluso cuando hablan en su lengua materna y dominante. Este fenómeno, comúnmente llamado “la desventaja bilingüe” también se observa en hablantes de una segunda lengua en comparación con hablantes de una primera lengua. Una causa que posiblemente contribuya a estas desventajas es el uso de control inhibitorio durante la producción del lenguaje: la inhibición de palabras coactivadas de la lengua actualmente no en uso puede prevenir intrusiones de dicha lengua, pero al mismo tiempo ralentizar la producción del lenguaje. El primer objetivo de los estudios descritos en este informe era testear esta hipótesis mediante diferentes predicciones generadas por teorías de control inhibitorio del lenguaje. Un segundo objetivo era investigar la extensión de la desventaja bilingüe dentro y fuera de la producción de palabras aisladas, así como avanzar en el conocimiento de las variables que la modulan. En lo atingente al primer objetivo, la evidencia obtenida es incompatible con un control inhibitorio global, desafiando la idea de mecanismos específicos en el hablante bilingüe utilizados para la selección léxica. Esto implica que una explicación común para el control de lenguaje y la desventaja bilingüe en el acceso al léxico es poco plausible. En cuanto al segundo objetivo, los resultados muestran que (a) la desventaja bilingüe no tiene un impacto al acceso a la memoria; (b) la desventaja bilingüe extiende a la producción del habla conectada; y (c) similitudes entre lenguas a diferentes niveles de representación así como la frecuencia de uso son factores que modulan la desventaja bilingüe.   

Late bloomer or language impaired? Screening the speech of a Spanish-English bilingual toddler for early signs of language impairment

This case study presents corpus data gathered from a Spanish-English bilingual child with expressive language delay. Longitudinal data on the child’s linguistic development was collected from the onset of productive speech at age 1;1 until age 4 over the course of 28 video-taped sessions with the child’s principal caregivers. A literature review focused on the relationship between language delay and persisting disorders—including a discussion of the frequent difficulty in distinguishing between the two at early stages of bilingual development—is followed by an analysis of the child’s productive development in 2 distinct phases. An attempt is made to assess the child’s speech at age 4 for preliminary signs of SLI and to consider techniques for identifying ‘at risk’ bilingual children (that is, those with productive language delay, poor oral fluency, and family history of language problems) based on samples of recorded and transcribed speech.

On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.

On Automatic Diagnosis of Alzheimer's Disease based on Spontaneous Speech Analysis and Emotional Temperature

Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.