Search Results (34)

In dialogue, laughter is a frequent non-verbal signal that can precede, follow, or overlap its antecedent—the laughable. Furthermore, the time alignment between the laughter and the laughable is dependent on who produces the laughable, whether laughter overlaps or not with speech and the communicative act performed. Laughter can interrupt either one’s own or one’s conversational partners’ utterances and, like other well-studied features of dialogue such as repair and split utterances, this interruption does not necessarily occur at phrase boundaries. Similarly, much like repair and other feedback like backchannels, laughters can be categorised as forward-looking or backward-looking. Given these parallels, we propose an analysis of how laughter can be processed and integrated using a Dynamic Syntax (DS) model, which already has well-motivated accounts of repair, split utterances, and feedback. We present a corpus study of laughter in dialogue, as well as a model using Dynamic Syntax and Theory of Types with Records (DS-TTR). Analogously to pronouns and ellipsis, our approach uses underspecification to account for laughter types that are different in processing terms as anaphoric or cataphoric, and demonstrates how laughter is processed incrementally as an utterance unfolds. Our analysis covers ≈87% of the annotated corpus data. Full article

This article presents articulatory–kinematic data on preboundary lengthening (Intonational Phrase-final lengthening) from the productions of ten native speakers of American English—a relatively rare class of phonetic data compared with the more widely available acoustic data. The dataset includes three trisyllabic nonce words (bábaba, babába, bababá), each designed to manipulate the location of lexical stress. These were produced under prosodic conditions that varied in boundary position and focus-induced phrasal prominence, enabling analysis of how preboundary lengthening is distributed across words with different lexical stress locations and how it interacts with prosodic prominence. Articulatory data were collected using electromagnetic articulography (EMA, Carstens AG200), providing kinematic measurements such as movement duration, peak velocity, and displacement of articulatory gestures. The accompanying files allow examination of individual speaker variation in these measures as modulated by prosodic structure, including boundary and prominence effects. While theoretical findings have been reported in a previous study, the full dataset, including detailed descriptions of individual speaker patterns, is made available here. By making these less commonly available articulatory data publicly available, we aim to promote broad reuse and support further research in prosody, articulatory phonetics, and speech production. Full article

The Converter/Distributor (C/D) model, as proposed by Fujimura is theoretically grounded on articulatory observations of X-ray microbeam (XRMB) data that show that utterance syllable prominence patterns “dictate” the size, timing and phrasing of articulatory movements. This paper briefly addresses some key differences between the C/D model and Articulatory Prosody (AP) before moving on to describe some of the basic components of the C/D model, e.g., the phonological prosodic input to the model, the Converter, which outputs, among other things, descriptions of syllable prominence patterns, prosodic boundaries, and syllable edge features, and the Distributor which enlists “elemental gestures” to articulatorily implement feature sets. Examples from previous research inspired by the C/D model illustrate how articulatory events, i.e., patterns of jaw lowering, account for the temporal organization of spoken language; also, how second language speakers tend to carry over their first language patterns of jaw lowering. Some applications of the C/D model are discussed, including first and second language acquisition, clinical applications, and new insights into prosodic phonology. The final section summarizes some of the strengths of the C/D model as well as the yet-to-be investigated aspects of the model. Full article

Second language (L2) learners often struggle to process prosodic boundaries, which are essential for speech comprehension. This study investigated the nature of these difficulties and how first language (L1) cue-weighting strategies transfer to L2 processing among Chinese (Mandarin)–English learners. The rising pitch that cues English phrase boundaries acoustically overlaps with functionally distinct Chinese lexical tones. Through two experiments comparing Chinese–English learners and native English speakers, we assessed sensitivity across lexical constituent, phrase, and sentence boundaries and manipulated acoustic cues (pause, lengthening, pitch) to estimate their perceptual weights during phrase-boundary identification. L2 learners showed reduced discrimination sensitivity only at the phrase level, performing comparably to native speakers at lexical constituent and sentence boundaries. For phrase boundaries, learners over-relied on pitch and under-relied on pre-boundary lengthening compared to native speakers, though both groups weighted pauses strongly. This selective deficit implicates the transfer of L1 cue-weighting strategies more than a global knowledge deficit. Our findings support a dynamic transfer model where L1 sensitivity to lexical tone transfer of L2 phrase perception, elevating the weight of pitch. While learners show partial adaptation, these results refine the Cue-Weighting Transfer Hypothesis by demonstrating that L2 prosodic acquisition involves both integrated L1 transfer and L2-driven reweighting strategies. Full article

This production study examines how Japanese speakers mark information structure through an Edge-Reinforcing Strategy—a prosodic system that signals focus via boundary-based cues, independently of lexical pitch accent or phrasing constraints. While many Japanese dialects mark focus with F0 expansion and post-focal compression, such strategies are limited in utterances containing unaccented words and in systems without lexical accent or multiword Accentual Phrases. We hypothesize that when pitch cues are constrained, speakers rely on temporal and spectral cues aligned with prosodic edges, such as silence insertion, jaw opening, and duration asymmetry. Nine educated speakers of Japanese standard produced 48 genitive noun-phrases (e.g., umáno hizume ‘horse’s hoof’) under Broad and Narrow Focus. Acoustic measures included word duration, and F1-based estimates of jaw opening and silence insertions. Results showed that silence and duration were the strongest predictors of Narrow Focus, functioning additively and independently of pitch accent. F1-based measurements of jaw opening played a secondary, compensatory role, particularly in unaccented contexts. Cue-profile analysis revealed a functional hierarchy: silence and duration together were most effective, while jaw alone was less informative. These findings broaden current models of focus realization, showing that prosodic restructuring can emerge from gradient, edge-based cue integration. Full article

Background/Objectives: This study sets out to explore how L1 Mandarin speakers with varying lengths of L2 experience perceived English focus interrogative tune, L*H-H%, within the framework of the autosegmental–metrical model. Methods: Eighteen Mandarin speakers with varying lengths of residence in the United States and eighteen English native speakers were invited to perceive prosodic prominence and judge the naturalness of focus prosody tunes. Results: For the perception of on-focus pitch accent L*, Mandarin speakers performed well in the prominence detection task but not in the focus identification task. For post-focus edge tones, we found that phrase accents were more susceptible to L1 influences than boundary tones due to the varying degrees of cross-linguistic similarity between these intonational categories. The results also show that even listeners with extended L2 experience were not proficient in their perception of L2 interrogative focus tunes. Conclusions: This study reveals the advantage of considering the degree of L1-L2 similarity and the necessity to examine cross-linguistic influences on L2 perception of prosody separately in phonological and phonetic dimensions. Full article

This study investigates whether specific acoustic features can reliably indicate phrase boundaries for automatic detection. It includes (1) an analysis of acoustic markers at the end of prosodic units—intonational phrases, intermediate phrases, and words—and (2) the evaluation of these features in an automatic boundary detection algorithm. Data were drawn from professionally and expressively read speech (893 words), news broadcasts (732 words), and interviews (361 words). Key features analyzed were pause duration, final sound lengthening, intensity, and F0 changes. Findings show that pauses and their duration are the most consistent indicators of phrase boundaries, especially at intonational phrase ends. Final sound lengthening and reductions in intensity and F0 also contribute but are less reliable for intermediate phrases. In automatic detection phonetic cues can be used to predict boundaries assigned by phoneticians 69% of the time. Read speech yielded better results than spontaneous speech. Among the features, pause presence and length were the most reliable, while F0 and intensity changes played a minor role. Full article

This study investigates syntactic parafoveal processing in Chinese reading using a boundary paradigm with two-character verb–object phrases. Participants (N = 120 undergraduates) viewed sentences with manipulated previews (identity, syntactically consistent, and inconsistent previews). Results showed a selective syntactic preview effect: syntactical violations reduced target word skipping rates, but fixation durations remained unaffected. This dissociation contrasts with robust syntactic preview benefits observed in alphabetic languages, highlighting how Chinese’s lack of morphological markers constrains parafoveal processing. The findings challenge parallel processing models while supporting language-specific modulation of universal cognitive mechanisms. Our results advance understanding of hierarchical information extraction in reading, with implications for developing cross-linguistic reading models. Full article

Acquiring prosodic focus marking in a second language (L2) is difficult for learners whose native language utilizes strategies that differ from those of the target language. German typically uses pitch accents (L+H*/H*) to mark focus, while (Modern Standard) Arabic preferably employs a syntactic strategy (word order) or lexical means. In Syrian Arabic, a variety which is predominantly oral, pitch accents are used to mark focus, but the distribution and types are different from German. The present study investigates how Syrian Arabic learners of German prosodically mark focus in L2 German. A question–answer paradigm was used to elicit German subject-verb-object (SVO)-sentences with broad, narrow, or contrastive focus. Productions of advanced (C1, N = 17) and intermediate (B1/B2, N = 8) Syrian Arabic learners were compared to those of German controls (N = 12). Like the controls, both learner groups successfully placed pitch accents on focused constituents. However, learners, especially those with lower proficiency, used more pitch accents in non-focal regions than the controls, revealing challenges in de-accentuation. These may result from the larger number of phrase boundaries in learners’ productions, which in turn might be explained by transfer from the L1 or aspects of general fluency. Learners also differed from the controls with respect to accent type. They predominantly used H* for narrow or contrastive focus (instead of L+H*); proficiency effects played only a minor role here. Our study hence reveals an intricate interplay between cross-linguistic influence and proficiency in the L2 acquisition of prosodic focus marking, targeting a language pair so far underrepresented in the literature (German vs. Syrian Arabic). Full article

Deciphering the structural hierarchy of musical compositions is indispensable for a range of music analysis applications, encompassing feature extraction, data compression, interpretation, and visualization. In this paper, we introduce a quantitative model grounded in fractal theory to evaluate the significance of individual notes within a musical piece. To analyze the quantized note importance, we adopt a rhythm-based approach and propose a series of detection operators informed by fundamental rhythmic combinations. Employing the Mamba model, we carry out recursive detection operations that offer a hierarchic understanding of musical structures. By organizing the composition into a tree data structure, we achieve an ordered layer traversal that highlights the music piece’s multi-dimensional features. Musical compositions often exhibit intrinsic symmetry in their temporal organization, manifested through repetition, variation, and self-similar patterns across scales. Among these symmetry properties, fractality stands out as a prominent characteristic, reflecting recursive structures both rhythmically and melodically. Our model effectively captures this property, providing insights into the fractal-like regularities within music. It also proves effective in musical phrase boundary detection tasks, enhancing the clarity and visualization of musical information. The findings illustrate the model’s potential to advance the quantitative analysis of music hierarchy, promoting novel methodologies in musicological research. Full article

The segmentation of symbolic music phrases is crucial for music information retrieval and structural analysis. However, existing BiLSTM-CRF methods mainly rely on local semantics, making it difficult to capture long-range dependencies, leading to inaccurate phrase boundary recognition across measures or themes. Traditional Transformer models use static embeddings, limiting their adaptability to different musical styles, structures, and melodic evolutions. Moreover, multi-head self-attention struggles with local context modeling, causing the loss of short-term information (e.g., pitch variation, melodic integrity, and rhythm stability), which may result in over-segmentation or merging errors. To address these issues, we propose a segmentation method integrating local context enhancement and global structure awareness. This method overcomes traditional models’ limitations in long-range dependency modeling, improves phrase boundary recognition, and adapts to diverse musical styles and melodies. Specifically, dynamic note embeddings enhance contextual awareness across segments, while an improved attention mechanism strengthens both global semantics and local context modeling. Combining these strategies ensures reasonable phrase boundaries and prevents unnecessary segmentation or merging. The experimental results show that our method outperforms the state-of-the-art methods for symbolic music phrase segmentation, with phrase boundaries better aligned to musical structures. Full article

This article presents RuPro, a new corpus resource of prosodically annotated speech by Russian heritage speakers in the U.S. and monolingually raised Russian speakers. The corpus contains data elicited in formal and informal communicative situations, by male/female and adolescent/adult speakers. The resource is presented with its architecture and annotation, and it is shown how it is used for the analysis of intonational features of spontaneous mono- and bilingual Russian speech. The analyses investigate the length of intonation phrases, types and number of pitch accents, and boundary tones. It emerges that the speaker groups do not differ in the inventory of pitch accents and boundary tones or in the relative frequency of these tonal events. However, they do differ in the length of intonation phrases (IPs), with heritage speakers showing shorter IPs also in the informal communicative situation. Both groups also differ concerning the number of pitch accents used on content words, with heritage speakers using more pitch accents than monolingually raised speakers. The results are discussed with respect to register differentiation and differences in prosodic density across both speaker groups. Full article

Motivated by a growing body of research on heritage Spanish prosody, the current study uses the Sp_ToBi framework for the transcription of Spanish intonation to report trends in phonological targets of broad focus declaratives produced by heritage speakers of Chilean Spanish living in Stockholm, Sweden. Data were collected via semi-structured interviews from six participants belonging to the same social network including two Spanish-dominant first-generation immigrants and four Swedish-dominant second-generation speakers who were born and raised in Sweden and are heritage speakers of Spanish. The G1 participants are the primary source of Spanish input for the G2 speakers. Data were analyzed by identifying word- and phrase-level phonological targets and associating them with the appropriate pitch accent and boundary tones. Results show that the heritage Spanish declarative intonation patterns of the G2 speakers closely resemble those of the G1 speakers. These patterns are scrutinized in terms of the potential influence of Swedish and/or other varieties of Spanish. This analysis exhibits evidence of the importance of source input variety and cross-generational transmission of phonological targets in a heritage language as well as the potential contributions of multiple intonational systems in forming the phonological inventory of heritage speakers. Full article

Online learning is quickly becoming a popular choice instead of traditional education. One of its key advantages lies in the flexibility it offers, allowing individuals to tailor their learning experiences to their unique schedules and commitments. Moreover, online learning enhances accessibility to education, breaking down geographical and economical boundaries. In this study, we propose the use of advanced natural language processing techniques to design and implement a recommender that supports e-learning students by tailoring materials and reinforcement activities to students’ needs. When a student posts a query in the course forum, our recommender system provides links to other discussion threads where related questions have been raised and additional activities to reinforce the study of topics that have been challenging. We have developed a content-based recommender that utilizes an algorithm capable of extracting key phrases, terms, and embeddings that describe the concepts in the student query and those present in other conversations and reinforcement activities with high precision. The recommender considers the similarity of the concepts extracted from the query and those covered in the course discussion forum and the exercise database to recommend the most relevant content for the student. Our results indicate that we can recommend both posts and activities with high precision (above 80%) using key phrases to represent the textual content. The primary contributions of this research are three. Firstly, it centers on a remarkably specialized and novel domain; secondly, it introduces an effective recommendation approach exclusively guided by the student’s query. Thirdly, the recommendations not only provide answers to immediate questions, but also encourage further learning through the recommendation of supplementary activities. Full article

It is broadly accepted that the prosody of a sentence can influence sentence processing by providing the listener information about the syntax of the sentence. It is less clear what the mechanism is that underlies the transmission of this information. In this paper, we test whether the influence of the prosodic structure on parsing is a result of perceptual breaks such as pauses or whether it is the result of more abstract prosodic elements, such as intonational phrases. In three experiments, we test whether different types of perceptual breaks, e.g., intonational boundaries (Experiment 1), an artificial buzzing sound (Experiment 2), and an isolated pause (Experiment 3), influence syntactic attachment in ambiguous sentences. We find that although full intonational boundaries influence syntactic disambiguation, the artificial buzz and isolated pause do not. These data rule out theories that argue that perceptual breaks indirectly influence grammatical attachment through memory mechanisms, and instead, show that listeners use prosodic breaks themselves as cues to parsing. Full article