Musical Sophistication and Speech Auditory-Motor Coupling: Easy Tests for Quick Answers

Musical training enhances auditory-motor cortex coupling, which in turn facilitates music and speech perception. How tightly the temporal processing of music and speech are intertwined is a topic of current research. We investigated the relationship between musical sophistication (Goldsmiths Musical Sophistication index, Gold-MSI) and spontaneous speech-to-speech synchronization behavior as an indirect measure of speech auditory-motor cortex coupling strength. In a group of participants (n = 196), we tested whether the outcome of the spontaneous speech-to-speech synchronization test (SSS-test) can be inferred from self-reported musical sophistication. Participants were classified as high (HIGHs) or low (LOWs) synchronizers according to the SSS-test. HIGHs scored higher than LOWs on all Gold-MSI subscales (General Score, Active Engagement, Musical Perception, Musical Training, Singing Skills), but the Emotional Attachment scale. More specifically, compared to a previously reported German-speaking sample, HIGHs overall scored higher and LOWs lower. Compared to an estimated distribution of the English-speaking general population, our sample overall scored lower, with the scores of LOWs significantly differing from the normal distribution, with scores in the ∼30th percentile. While HIGHs more often reported musical training compared to LOWs, the distribution of training instruments did not vary across groups. Importantly, even after the highly correlated subscores of the Gold-MSI were decorrelated, particularly the subscales Musical Perception and Musical Training allowed to infer the speech-to-speech synchronization behavior. The differential effects of musical perception and training were observed, with training predicting audio-motor synchronization in both groups, but perception only in the HIGHs. Our findings suggest that speech auditory-motor cortex coupling strength can be inferred from training and perceptual aspects of musical sophistication, suggesting shared mechanisms involved in speech and music perception.

Functional Connectivity and Speech Entrainment Speech Entrainment Improves Connectivity Between Anterior and Posterior Cortical Speech Areas in Non-fluent Aphasia

Background Speech entrainment (SE), the online mimicking of an audio-visual speech model, has been shown to increase speech fluency in individuals with non-fluent aphasia. One theory that may explain why SE improves speech output is that it synchronizes functional connectivity between anterior and posterior language regions to be more similar to that of neurotypical speakers. Objectives The present study tested this by measuring functional connectivity between 2 regions shown to be necessary for speech production, and their right hemisphere homologues, in 24 persons with aphasia compared to 20 controls during both free (spontaneous) speech and SE. Methods Regional functional connectivity in participants with aphasia were normalized to the control data. Two analyses were then carried out: (1) normalized functional connectivity was compared between persons with aphasia and controls during free speech and SE and (2) stepwise linear models with leave-one-out cross-validation including normed functional connectivity during both tasks and proportion damage to the left hemisphere as independent variables were created for each language score. Results Left anterior–posterior functional connectivity and left posterior to right anterior functional connectivity were significantly more similar to connectivity of the control group during SE compared to free speech. Additionally, connectivity during free speech was more associated with language measures than connectivity during SE. Conclusions Overall, these results suggest that SE promotes normalization of functional connectivity (i.e., return to patterns observed in neurotypical controls), which may explain why individuals with non-fluent aphasia produce more fluent speech during SE compared to spontaneous speech.

Teaching prosody awareness in spontaneous speech for non-linguistic students

The paper reports on the findings of the study of prosody in teaching spontaneous speech production. Insufficient development of a scientifically based methodology for building oral language skills, taking into account its prosodic characteristics, determines the relevance of the study. The main goal of the research is to correct the methodology of teaching spontaneous learner talk, based on the results of experimental phonetic research. The research methodology is based on an integrated approach using linguistic methods of experimental phonetic research, as well as methods of psychological and pedagogic research. The results of phonetic experiment of 97 monolingual utterances of undergraduate students, non-English majors (total running 190 minutes) show a summary of commonly occurring problems that lead to non-native intonation. These problems are mostly related to improper segmentation, wrong distribution of the utterance stress, incorrect rhythmic organisation of speech, break of intonation continuum, inappropriate intonation patterns and melodic contour. The proposed prosodic focus on teaching spontaneous monologue speech includes the following stages: sensitisation, imitation, reading with prosody and practice activities. Methodological recommendations contain specific proposals for teaching sentence stress, syntagmatic division, pausing, intonation and rhythmics of spontaneous speech.

Stages rather than ages in the acquisition of movement structures: Data from sentence repetition and 27696 spontaneous clauses

This study explored the order of acquisition of various types of syntactic-movement and embedding structures in Hebrew, using a sentence-repetition task, in which 60 children aged 2;2-3;10 repeated 80 sentences (with a total of 4800 sentences), and an analysis of the spontaneous speech of 61 children aged 1;6-6;1 (27,696 clauses). The sentence repetition task revealed a set order of acquisition of the various types of syntactic movement: A-movement is acquired first, then A-bar-movement, and finally movement of the verb to C. The analysis of spontaneous speech revealed the same order: A-movement of the object of unaccusative verbs to subject position appears first, together with simple SV sentences; then, wh-questions appear, then relative clauses and topicalization, which appear together with embedding of finite clauses, and lastly, V-to-C movement. Previous studies have shown that Hebrew speakers under age six have difficulty comprehending and producing sentences with A-bar-movement in which a lexically-restricted object crosses over a lexically-restricted subject. And indeed, whereas children produced A-bar structures very early (wh-questions from age 1;6, relative-clauses and topicalization from age 2;6), until age 5;8 these structures never included a lexical DP crossing over another lexical DP. Both tasks indicated that the order of structure acquisition is fixed, creating Guttman scales between structures, but different children acquire the same structure at very different ages. It seems that whereas the syntactic path and the stages of structure acquisition along it are constant between children, each child walks this path in their own pace.

Late generalization of morphological causatives: Evidence from Turkish

Children’s spontaneous speech may not reflect true productivity with grammar rules. We investigated Turkish-learning children’s rule-based understanding of causative morphology by combining experimental and corpus work. We asked (1) when the generalization of causative morphology emerges and (2) what role input plays in this development. To answer the first question, Study 1 experimentally tested 106 children aged 2;6–6;1 on a language judgment task using pseudo-verbs. Children preferred the causative marker -DIr over an incongruent suffix for causativized events earliest at age 4;10. Further, Study 2 tested 38 children aged 3;6–4;6 and revealed no preference of -DIr over no suffix. Study 3 examined a corpus for child-directed input and showed that the variation of verb stems to which -DIr was attached remained lower than variation of verbs eligible to take -DIr, up to age 3. The findings suggest that rule-based understanding of morphological causatives emerges much later than previously proposed productivity at age 2, which might be accounted for by the insufficient variation of morphological causatives in the early input.

Linguistic Parameters of Spontaneous Speech for identifying Mild Cognitive Impairment and Alzheimer’s Disease

In this paper, we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) or mild Alzheimer’s Disease (mAD) based on their speech transcripts, focusing only on linguistic features. In addition to the features examined in our earlier study, we introduce syntactic, semantic and pragmatic features of spontaneous speech that might affect the detection of dementia. In order to ascertain the most useful features for distinguishing healthy controls, MCI patients and mAD patients, we will carry out a statistical analysis of the data and investigate the significance level of the extracted features among various speaker group pairs and for various speaking tasks. In the second part of the paper, we use this rich feature set as a basis for an effective discrimination among the three speaker groups. In our machine learning experiments, we will analyze the efficacy of each feature group separately. Our model which uses all the features achieves competitive scores, either with or without demographic information (3-class accuracy values: 68–70%, 2-class accuracy values: 77.3–80%). We also analyze how different data recording scenarios affect linguistic features and how they can be productively used when distinguishing MCI patients from healthy controls.

Semi-Natural and Spontaneous Speech Recognition Using Deep Neural Networks with Hybrid Features Unification

Recently, identifying speech emotions in a spontaneous database has been a complex and demanding study area. This research presents an entirely new approach for recognizing semi-natural and spontaneous speech emotions with multiple feature fusion and deep neural networks (DNN). A proposed framework extracts the most discriminative features from hybrid acoustic feature sets. However, these feature sets may contain duplicate and irrelevant information, leading to inadequate emotional identification. Therefore, an support vector machine (SVM) algorithm is utilized to identify the most discriminative audio feature map after obtaining the relevant features learned by the fusion approach. We investigated our approach utilizing the eNTERFACE05 and BAUM-1s benchmark databases and observed a significant identification accuracy of 76% for a speaker-independent experiment with SVM and 59% accuracy with, respectively. Furthermore, experiments on the eNTERFACE05 and BAUM-1s dataset indicate that the suggested framework outperformed current state-of-the-art techniques on the semi-natural and spontaneous datasets.

Psychological Effects of Secondary Prisonization on Older Parents

Secondary prisonization refers to the impact of the incarceration of a relative on the members of their family. This study aimed to analyze the psychological effects of secondary prisonization on older parents. Specifically, levels of depression, anxiety, stress, and well-being (emotional, psychological, and social) were analyzed by means of quantitative and automatic speech analysis methods in a sample of over 65-year-old parents of Basque prisoners incarcerated in remote prisons. The statistical analysis of data and the automatic spontaneous speech analysis showed that secondary prisonization has a negative impact on older parents’ levels of depression, anxiety, stress, and well-being. These results lead us to conclude that remote imprisonment of adult children has negative psychological effects on older parents.

Forced alignment for Nordic languages: Rapidly constructing a high-quality prototype

We propose a rapid adaptation of FAVE-Align to the Nordic languages, and we offer our own adaptation to Swedish as a template. This study is motivated by the fact that researchers of lesser-studied languages often neither have sufficient speech material nor sufficient time to train a forced aligner. Faced with a similar problem, we made a limited number of surface changes to FAVE-Align so that it – along with its original hidden Markov models for English – could be used on Stockholm Swedish. We tested the performance of this prototype on the three main sociolects of Stockholm Swedish and found that read-aloud alignments met all of the minimal benchmarks set by the literature. Spontaneous-speech alignments met three of the four minimal benchmarks. We conclude that an adaptation such as ours would especially suit laboratory experiments in Nordic phonetics that rely on elicited speech.