Voice pitch is negatively associated with sociosexual behavior in males but not in females.

Acoustic cues play a major role in social interactions in many animal species. In addition to the semantic contents of human speech, voice attributes - e.g., voice pitch, formant position, formant dispersion, etc. - have been proposed to provide critical information for the assessment of potential rivals and mates. However, prior studies exploring the association of acoustic attributes with reproductive success, or some of its proxies, have produced mixed results. Here, we investigate whether the mean fundamental frequency (F0), formant position (Pf), and formant dispersion (Df) - dimorphic attributes of the human voice - are related to sociosexuality, as measured by the Revised Sociosexual Orientation Inventory (SOI-R) - a trait also known to exhibit sex differences - in a sample of native Spanish-speaking students (101 males, 147 females). Analyses showed a significant negative correlation between F0 and sociosexual behavior, and between Pf and sociosexual desire in males but not in females. These correlations remained significant after correcting for false discovery rate (FDR) and controlling for age, a potential confounding variable. Our results are consistent with a role of F0 and Pf serving as cues in the mating domain in males but not in females. Alternatively, the association of voice attributes and sociosexual orientation might stem from the parallel effect of male sex hormones both on the male brain and the anatomical structures involved in voice production.

Reading and lexical-semantic retrieval tasks outperforms single task speech analysis in the screening of mild cognitive impairment and Alzheimer's disease.

Age-related cognitive impairment have increased dramatically in recent years, which has risen the interes in developing screening tools for mild cognitive impairment and Alzheimer's disease. Speech analysis allows to exploit the behavioral consequences of cognitive deficits on the patient's vocal performance so that it is possible to identify pathologies affecting speech production such as dementia. Previous studies have further shown that the speech task used determines how the speech parameters are altered. We aim to combine the impairments in several speech production tasks in order to improve the accuracy of screening through speech analysis. The sample consists of 72 participants divided into three equal groups of healthy older adults, people with mild cognitive impairment, or Alzheimer's disease, matched by age and education. A complete neuropsychological assessment and two voice recordings were performed. The tasks required the participants to read a text, and complete a sentence with semantic information. A stepwise linear discriminant analysis was performed to select speech parameters with discriminative power. The discriminative functions obtained an accuracy of 83.3% in simultaneous classifications of several levels of cognitive impairment. It would therefore be a promising screening tool for dementia.

Vocal Cues to Male Physical Formidability.

Animal vocalizations convey important information about the emitter, including sex, age, biological quality, and emotional state. Early on, Darwin proposed that sex differences in auditory signals and vocalizations were driven by sexual selection mechanisms. In humans, studies on the association between male voice attributes and physical formidability have thus far reported mixed results. Hence, with a view to furthering our understanding of the role of human voice in advertising physical formidability, we sought to identify acoustic attributes of male voices associated with physical formidability proxies. Mean fundamental frequency (F 0), formant dispersion (D f ), formant position (P f ), and vocal tract length (VTL) data from a sample of 101 male voices was analyzed for potential associations with height, weight, and maximal handgrip strength (HGS). F 0 correlated negatively with HGS; P f showed negative correlations with HGS, height and weight, whereas VTL positively correlated with HGS, height and weight. All zero-order correlations remained significant after controlling for false discovery rate (FDR) with the Benjamini-Hochberg method. After controlling for height and weight-and controlling for FDR-the correlation between F 0 and HGS remained significant. In addition, to evaluate the ability of human male voices to advertise physical formidability to potential mates, 151 heterosexual female participants rated the voices of the 10 strongest and the 10 weakest males from the original sample for perceived physical strength, and given that physical strength is a desirable attribute in male partners, perceived attractiveness. Generalized linear mixed model analyses-which allow for generalization of inferences to other samples of both raters and targets-failed to support a significant association of perceived strength or attractiveness from voices alone and actual physical strength. These results add to the growing body of work on the role of human voices in conveying relevant biological information.

Many Changes in Speech through Aging Are Actually a Consequence of Cognitive Changes.

BACKGROUND: During aging, changes in human speech may arise because of the neurophysiological deterioration associated with age, or as the result of an impairment in the cognitive processes underlying speech production. Some speech parameters show specific alterations under the presence of dementia. The objective of our study is to identify which of these parameters change because of age, cognitive state, or the interaction of both. METHODS: The sample includes 400 people over 55 years old, who were divided into four groups, according to their age. The cognitive state of the participants was assessed through the MMSE test and three ranks were stablished. Gender was also considered in the analysis. RESULTS: Certain temporal, fluency, rhythm, amplitude and voice quality parameters were found to be related to the cognitive state, while disturbance parameters changed due to age. Frequency parameters were exclusively influenced by gender. CONCLUSIONS: Understanding how speech parameters are specifically affected by age, cognitive state, or the interaction of both, is determinant to advance in the use of speech as a clinical marker for the detection of cognitive impairments.

Speech biomarkers of risk factors for vascular dementia in people with mild cognitive impairment.

Introduction: In this study we intend to use speech analysis to analyze the cognitive impairments caused by pathologies of vascular origin such as diabetes, hypertension, hypercholesterolemia and heart disease, predictors of the development of vascular dementia. Methods: In this study, 40 participants with mild cognitive impairment were asked to read while being recorded and they were inquired about their history of the aforementioned conditions. Their speech was then analyzed. Results: We found that some speech parameters of frequencies and syllabic rhythm vary due to these pathologies. In addition, we conducted a discriminant analysis in which we found that diabetes and hypertension can be predicted with an accuracy over 95% with few speech parameters, and hypercholesterolemia and heart disease with an accuracy over 80%. Discussion: The predictor parameters found are heterogeneous, including voice quality, amplitude, frequency, and rhythm parameters. This result may lead to investigate why such important qualitative changes occur in the voice of older adults with these pathologies. Rather than trying to find a diagnostic procedure already existing in classical medicine, we expect this finding to contribute to explore the causes and concomitant pathologies of these diseases. We discuss the implications of behavioral traits, such as speech, as digital biomarkers.

Reading Competency, Speech Rate and Rhythm.

BACKGROUND: There is increasing evidence defining reading competency in terms of accuracy, speed and prosody, as well as interest in gaining better understanding of the interrelation as a function of prosodic features. This study aims to analyze the relationship between reading competency, in terms of accuracy and speed of written word recognition, and two attributes related to prosody in oral reading of texts: speech rate and rhythm. METHOD: Oral reading of a narrative text by 141 third and fourth grade Spanish-speaking students was analyzed using an automated acoustic speech procedure and their reading competency was assessed. RESULTS: Reading proficiency was associated with a lower proportion of the number and duration of pauses and greater regularity of syllable intervals, resulting in a higher rate of speech and higher regularity of rhythm. The reading experience improves rhythmic reading with some independence from the levels of automation achieved in written word recognition. CONCLUSIONS: The results suggest that when there is greater reading competence there is greater speed and rhythmic expressiveness; this improves with reading experience when a sufficient level of automation has been achieved in reading access.

Ten Years of Research on Automatic Voice and Speech Analysis of People With Alzheimer's Disease and Mild Cognitive Impairment: A Systematic Review Article.

Background: The field of voice and speech analysis has become increasingly popular over the last 10 years, and articles on its use in detecting neurodegenerative diseases have proliferated. Many studies have identified characteristic speech features that can be used to draw an accurate distinction between healthy aging among older people and those with mild cognitive impairment and Alzheimer's disease. Speech analysis has been singled out as a cost-effective and reliable method for detecting the presence of both conditions. In this research, a systematic review was conducted to determine these features and their diagnostic accuracy. Methods: Peer-reviewed literature was located across multiple databases, involving studies that apply new procedures of automatic speech analysis to collect behavioral evidence of linguistic impairments along with their diagnostic accuracy on Alzheimer's disease and mild cognitive impairment. The risk of bias was assessed by using JBI and QUADAS-2 checklists. Results: Thirty-five papers met the inclusion criteria; of these, 11 were descriptive studies that either identified voice features or explored their cognitive correlates, and the rest were diagnostic studies. Overall, the studies were of good quality and presented solid evidence of the usefulness of this technique. The distinctive acoustic and rhythmic features found are gathered. Most studies record a diagnostic accuracy over 88% for Alzheimer's and 80% for mild cognitive impairment. Conclusion: Automatic speech analysis is a promising tool for diagnosing mild cognitive impairment and Alzheimer's disease. The reported features seem to be indicators of the cognitive changes in older people. The specific features and the cognitive changes involved could be the subject of further research.

Reading Competency, Speech Rate and Rhythm / Competencia Lectora, Fluidez y Ritmo

Background: There is increasing evidence defining reading competency in terms of accuracy, speed and prosody, as well as interest in gaining better understanding of the interrelation as a function of prosodic features. This study aims to analyze the relationship between reading competency, in terms of accuracy and speed of written word recognition, and two attributes related to prosody in oral reading of texts: speech rate and rhythm. Method: Oral reading of a narrative text by 141 third and fourth grade Spanish-speaking students was analyzed using an automated acoustic speech procedure and their reading competency was assessed. Results: Reading profi ciency was associated with a lower proportion of the number and duration of pauses and greater regularity of syllable intervals, resulting in a higher rate of speech and higher regularity of rhythm. The reading experience improves rhythmic reading with some independence from the levels of automation achieved in written word recognition. Conclusions: The results suggest that when there is greater reading competence there is greater speed and rhythmic expressiveness; this improves with reading experience when a sufficient level of automation has been achieved in reading access. (AU)

Antecedentes: cada vez más evidencias define la competencia lectora en términos de precisión, velocidad y prosodia; así hay interés en comprender esa relación en función de los rasgos prosódicos que se consideren. Este estudio analiza la relación entre precisión y velocidad de reconocimiento de la palabra escrita y dos atributos relacionados con la prosodia en la lectura oral de textos: la velocidad y el ritmo del habla. Método: se analizó la lectura oral de un texto narrativo de 141 estudiantes de habla hispana de tercer y cuarto grado de primaria mediante un procedimiento acústico automatizado del habla, evaluada su competencia lectora. Resultados: la competencia lectora se asocia con una menor proporción en el número y duración de las pausas y con una mayor regularidad de los intervalos silábicos, lo que produce mayor tasa de habla y una mayor regularidad del ritmo. La experiencia lectora mejora la lectura rítmica con cierta independencia de los niveles de automatización alcanzado en el reconocimiento de la palabra escrita. Conclusiones: los resultados sugieren que cuando hay una mayor competencia lectora hay mayor velocidad y expresividad rítmica; que mejora con la experiencia lectora cuando se ha logrado un nivel suficiente de automatización en el acceso lector. (AU)

Changes in the Rhythm of Speech Difference between People with Nondegenerative Mild Cognitive Impairment and with Preclinical Dementia.

This study explores several speech parameters related to mild cognitive impairment, as well as those that might be flagging the presence of an underlying neurodegenerative process. Speech is an excellent biomarker because it is not invasive and, what is more, its analysis is rapid and economical. Our aim has been to ascertain whether the typical speech patterns of people with Alzheimer's disease are also present during the disorder's preclinical stages. To do so, we shall be using a task that involves reading out aloud. This is followed by an analysis of the recordings, looking for the possible parameters differentiating between those older people with MCI and a high probability of developing dementia and those with MCI that will not do so. We found that the disease's most differentiating parameters prior to its onset involve changes in speech duration and an alteration in rhythm rate and intensity. These parameters seem to be related to the first difficulties in lexical access among older people with AD.

A Prototype for the Voice Analysis Diagnosis of Alzheimer's Disease.

BACKGROUND: Speech variations enable us to map the performance of cognitive processes of syntactic, semantic, phonological, and articulatory planning and execution. Speaking is one of the first functions to be affected by neurodegenerative complaints such as Alzheimer's disease (AD), which makes the speech a highly promising biomarker for detecting the illness before the first preclinical symptoms appear. OBJECTIVE: This paper has sought to develop and validate a technological prototype that adopts an automated approach to speech analysis among older people. METHODS: It uses a mathematical algorithm based on certain discriminatory variables to estimate the probability of developing AD. RESULTS AND CONCLUSION: This device may be used at a preclinical stage by non-expert health professionals to determine the likelihood of the onset of AD.

Voice Markers of Lexical Access in Mild Cognitive Impairment and Alzheimer's Disease.

BACKGROUND: Recent studies have identified the correlation between dementia and certain vocal features, such as voice and speech changes. Vocal features may act as early markers of Alzheimer's disease (AD). Despite being present in non-pathological senescence and Mild Cognitive Impairment, especially in its amnesic subtype (aMCI), these voice- and speech-related symptoms are the first signs of AD. The purpose of this study is to verify whether these signs are related to deficits in lexical access, which appear early in AD. METHOD: Anomic deficits in persons with MCI and AD are assessed through tests on verbal memory, denomination by confrontation, and verbal fluency. In addition, an acoustic analysis of speech is conducted in a reading task to identify the acoustic parameters associated with the groups analyzed, and their relation to the degree of anomic impairment observed in each one of them. RESULTS AND CONCLUSIONS: The results show a direct relationship between the different acoustic parameters present in AD and the verbal fluency tests results.

Relations between Sensorimotor Integration and Speech Disorders in Parkinson's Disease.

BACKGROUND: Sensorimotor integration mechanisms can be affected by many factors, among which are those involving neuromuscular disorders. Parkinson's disease (PD) is characterized by well-known motor symptoms, among which lately have been included motor speech deficits. Measurement of the acoustic startle reflex (ASR) and its modulations (prepulse inhibition and prepulse facilitation, PPI and PPF respectively) represent a simple and quantifiable tool to assess sensorimotor function. However, it remains unknown whether measures of the PPI and PPF are associated with motor speech deficits in PD. METHODS: A total of 88 subjects participated in this study, 52 diagnosed with PD and 36 control subjects. After obtaining written informed consent, participants were assessed with PPI at several interstimulus intervals, and PPF at 1000 ms using the SRH-Lab system (San Diego, CA). Percentage of change in the amplitude and latency of the ASR was analyzed between groups. Voice recordings were register of a specific text given to the subjects with a professional recorder and temporal patterns of speech were analyzed. RESULTS: Statistical analysis conducted in this study showed differences in PPI and PPF in subjects with PD compared to controls. In addition, discriminative parameters of voice abnormalities were observed in PD subjects related to control subjects showing a reduction in phonation time, vowel pulses, breaks, breakage and voice speech periods. CONCLUSIONS: PD presents a disruption in sensorimotor filter mechanisms and speech disorders, and there is a relationship between these alterations. The correlation between the PPI and PPF with an alteration of the voice in PD subjects contributes toward understanding mechanism underlying the neurophysiological alterations in both processes. Overall, easy and non-invasive tests such as PPI, PPF together with voice analysis may be useful to identify early stages of PD.

Speech rhythm alterations in Spanish-speaking individuals with Alzheimer's disease.

Rhythm is the speech property related to the temporal organization of sounds. Considerable evidence is now available for suggesting that dementia of Alzheimer's type is associated with impairments in speech rhythm. The aim of this study is to assess the use of an automatic computerized system for measuring speech rhythm characteristics in an oral reading task performed by 45 patients with Alzheimer's disease (AD) compared with those same characteristics among 82 healthy older adults without a diagnosis of dementia, and matched by age, sex and cultural background. Ranges of rhythmic-metric and clinical measurements were applied. The results show rhythmic differences between the groups, with higher variability of syllabic intervals in AD patients. Signal processing algorithms applied to oral reading recordings prove to be capable of differentiating between AD patients and older adults without dementia with an accuracy of 87% (specificity 81.7%, sensitivity 82.2%), based on the standard deviation of the duration of syllabic intervals. Experimental results show that the syllabic variability measurements extracted from the speech signal can be used to distinguish between older adults without a diagnosis of dementia and those with AD, and may be useful as a tool for the objective study and quantification of speech deficits in AD.

Ethics, Science and Mind Control: J. M. Rodríguez-Delgado's Legacy.

This work analyses the evolution of the scientific visibility of the neurophysiologist José Manuel Rodríguez Delgado. It examines the longitudinal evolution from 1955 to 2013 of an article (Delgado, Roberts, & Miller, 1954) studying the neurological basis of learning and motivation and compares it with a coetaneous article (Olds & Milner, 1954) with a similar subject and methodology. Both studies have been essential in Psychology. This work analyses the number of times each article has been cited between 1955-1984 and 1985-2013. The results show that the visibility of James Olds and Peter Milner's article (expressed in number of citations between 1955-1984 and 1985-2013) has longitudinally increased (p < .001), whereas the number of citations received by José Manuel Rodríguez Delgado et al.'s article has significantly reduced (p < .001). The results are discussed and the low visibility of Delgado's article is explained through historical and social factors, including the growing concern about compliance with bioethical and research guidelines and the controversial media projection of the Spanish scientist, not by the intrinsic value or the scientific repercussion of the compared articles.

Ethics, science and mind control: J. M. Rodríguez-Delgado’s legacy

This work analyses the evolution of the scientific visibility of the neurophysiologist José Manuel Rodríguez Delgado. It examines the longitudinal evolution from 1955 to 2013 of an article (Delgado, Roberts, & Miller, 1954) studying the neurological basis of learning and motivation and compares it with a coetaneous article (Olds & Milner, 1954) with a similar subject and methodology. Both studies have been essential in Psychology. This work analyses the number of times each article has been cited between 1955-1984 and 1985-2013. The results show that the visibility of James Olds and Peter Milner's article (expressed in number of citations between 1955-1984 and 1985-2013) has longitudinally increased (p < .001), whereas the number of citations received by José Manuel Rodríguez Delgado et al.'s article has significantly reduced (p < .001). The results are discussed and the low visibility of Delgado's article is explained through historical and social factors, including the growing concern about compliance with bioethical and research guidelines and the controversial media projection of the Spanish scientist, not by the intrinsic value or the scientific repercussion of the compared articles (AU)

No disponible

Can the Acoustic Analysis of Expressive Prosody Discriminate Schizophrenia?

Emotional states, attitudes and intentions are often conveyed by modulations in the tone of voice. Impaired recognition of emotions from a tone of voice (receptive prosody) has been described as characteristic symptoms of schizophrenia. However, the ability to express non-verbal information in speech (expressive prosody) has been understudied. This paper describes a useful technique for quantifying the degree of expressive prosody deficits in schizophrenia, using a semi-automatic method, and evaluates this method's ability to discriminate between patient and control groups. Forty-five medicated patients with a diagnosis of schizophrenia were matched with thirty-five healthy comparison subjects. Production of expressive prosodic speech was analyzed using variation in fundamental frequency (F0) measures on an emotionally neutral reading task. Results revealed that patients with schizophrenia exhibited significantly more pauses (p < .001), were slower (p < .001), and showed less pitch variability in speech (p < .05) and fewer variations in syllable timing (p < .001) than control subjects. These features have been associated with «flat¼ speech prosody. Signal processing algorithms applied to speech were shown to be capable of discriminating between patients and controls with an accuracy of 93.8%. These speech parameters may have a diagnostic and prognosis value and therefore could be used as a dependent measure in clinical trials.

Humor styles and personality: A meta-analysis of the relation between humor styles and the Big Five personality traits.

This research summarizes the knowledge generated in social psychology and positive psychology about the relationship between humor styles, personality and wellbeing. Specifically, a meta-analysis was performed with the results of 15 studies on humor styles measured by the Humor Styles Questionnaire (Martin, Puhlik-Doris, Larsen, Gray & Weir, 2003) in correlation with the personality traits measured by the Big Five Personality model (measured with different scales). Following the steps presented by Rosenthal (1991) for meta-analysis in the case of correlational research, we calculated the total mean r as an indicator of effect size. Results show that affiliative humor has a strong and homogeneous relation to neuroticism and extraversion. The homogeneity and heterogeneity found between variables and possible explanations are discussed in the conclusion.

Can the acoustic analysis of expressive prosody discriminate schizophrenia?

Emotional states, attitudes and intentions are often conveyed by modulations in the tone of voice. Impaired recognition of emotions from a tone of voice (receptive prosody) has been described as characteristic symptoms of schizophrenia. However, the ability to express non-verbal information in speech (expressive prosody) has been understudied. This paper describes a useful technique for quantifying the degree of expressive prosody deficits in schizophrenia, using a semi-automatic method, and evaluates this method’s ability to discriminate between patient and control groups. Forty-five medicated patients with a diagnosis of schizophrenia were matched with thirty-five healthy comparison subjects. Production of expressive prosodic speech was analyzed using variation in fundamental frequency (F0) measures on an emotionally neutral reading task. Results revealed that patients with schizophrenia exhibited significantly more pauses (p < .001), were slower (p < .001), and showed less pitch variability in speech (p < .05) and fewer variations in syllable timing (p < .001) than control subjects. These features have been associated with «flat» speech prosody. Signal processing algorithms applied to speech were shown to be capable of discriminating between patients and controls with an accuracy of 93.8%. These speech parameters may have a diagnostic and prognosis value and therefore could be used as a dependent measure in clinical trials (AU)

No disponible

Speech in Alzheimer's disease: can temporal and acoustic parameters discriminate dementia?

AIMS: The study explores how speech measures may be linked to language profiles in participants with Alzheimer's disease (AD) and how these profiles could distinguish AD from changes associated with normal aging. METHODS: We analysed simple sentences spoken by older adults with and without AD. Spectrographic analysis of temporal and acoustic characteristics was carried out using the Praat software. RESULTS: We found that measures of speech, such as variations in the percentage of voice breaks, number of periods of voice, number of voice breaks, shimmer (amplitude perturbation quotient), and noise-to-harmonics ratio, characterise people with AD with an accuracy of 84.8%. DISCUSSION: These measures offer a sensitive method of assessing spontaneous speech output in AD, and they discriminate well between people with AD and healthy older adults. This method of evaluation is a promising tool for AD diagnosis and prognosis, and it could be used as a dependent measure in clinical trials.