Speech Communication最新文献

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Quantifying division of labour: Effects of clause type on intonational meaning 量化分工:子句类型对语调意义的影响
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-18 DOI: 10.1016/j.specom.2025.103265
Johannes M. Heim
{"title":"Quantifying division of labour: Effects of clause type on intonational meaning","authors":"Johannes M. Heim","doi":"10.1016/j.specom.2025.103265","DOIUrl":"10.1016/j.specom.2025.103265","url":null,"abstract":"<div><div>This paper reports quantifiable evidence for a clean division of labour between syntax and prosody in deriving the meaning of rising intonation. This evidence stems from two perception studies that asked participants to rate the speaker attitudes and their response expectation expressed by rising declaratives and interrogatives. Rises were manipulated by changing pitch excursion and duration which are known to affect their interpretation. One part in each study addressed the relation between the contour shape and the perception of speaker confidence or certainty, another part addressed the relation between the contour shape and the perception of response expectation. The two studies differed in whether the rise was paired with a declarative or an interrogative clause. Across clause-types, higher excursion led to lower ratings of speaker confidence/certainty and higher ratings for response expectation. For declaratives only, large duration differences also affected ratings of speaker confidence. While the patterns emerging about prosodic form-function mapping were similar across clause types, the effect sizes differed notably. This suggests that pitch excursion, and possibly duration, have clause-type-independent effects, which are moderated by default expectations of contour and clause-type combinations. Such an interpretation supports previous compositional accounts of intonational meaning that ascribe independent functions to clause type and intonation, each contributing to their conversational effects.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103265"},"PeriodicalIF":2.4,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blood pressure monitoring from naturally recorded speech sounds: advancements and future prospects 从自然录制的语音中监测血压:进步和未来前景
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-13 DOI: 10.1016/j.specom.2025.103255
Fikret Arı , Haydar Ankışhan , Blaise B. Frederick , Lia M. Hocke , Sinem B. Erdoğan
{"title":"Blood pressure monitoring from naturally recorded speech sounds: advancements and future prospects","authors":"Fikret Arı ,&nbsp;Haydar Ankışhan ,&nbsp;Blaise B. Frederick ,&nbsp;Lia M. Hocke ,&nbsp;Sinem B. Erdoğan","doi":"10.1016/j.specom.2025.103255","DOIUrl":"10.1016/j.specom.2025.103255","url":null,"abstract":"<div><div>The development of an accurate, cuffless system for continuous monitoring of blood pressure is essential to reduce the number of deaths due to hypertension. In this study, we present a groundbreaking artificial intelligence-based system developed for accurate blood pressure prediction from spoken sentences in natural everyday situations, using only a smartphone without additional measurements. Our method uses hyperparameter-tuned machine learning (ML) techniques, including Synthetic Minority Over-sampling Technique (SMOTE), to classify blood pressure as normal or high. By automatically detecting vowels in recorded speech sentences, we extract a statistical features vector with demographic information (1 × 59-D). Experimental results highlight impressive classification accuracies, reaching 98.45% for systolic BP and 99.61% for diastolic BP with the Adaptive synthetic sampling approach for imbalanced learning (ADASYN). These findings underscore the meaningful physiological information embedded in human speech and demonstrate the potential of our hyperparameter-tuned ML methods in revolutionizing health monitoring practices, particularly in the domain of telehealth, internet of things devices and remote monitoring.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103255"},"PeriodicalIF":2.4,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Human and automatic voice comparison with regionally variable speech samples 人类和自动语音比较区域可变语音样本
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-12 DOI: 10.1016/j.specom.2025.103253
Vincent Hughes , Carmen Llamas , Thomas Kettig
{"title":"Human and automatic voice comparison with regionally variable speech samples","authors":"Vincent Hughes ,&nbsp;Carmen Llamas ,&nbsp;Thomas Kettig","doi":"10.1016/j.specom.2025.103253","DOIUrl":"10.1016/j.specom.2025.103253","url":null,"abstract":"<div><div>In this paper, we compare and combine human and automatic voice comparison results based on short, regionally variable speech samples. Likelihood ratio-like scores were extracted for 120 pairs of same- (45) and different-speaker (75) samples from a total of 896 British English listeners. The samples contained the voices of speakers from Newcastle and Middlesbrough (in North-East England), as well as speakers of Standard Southern British English (modern RP). In addition to within-accent comparisons, the experiment included between-accent, different-speaker comparisons for Middlesbrough and Newcastle, which are perceptually and regionally proximate accents. Scores were also computed using an x-vector PLDA automatic speaker recognition (ASR) system. The ASR system (EER=10.88 %, <em>C</em><sub>llr</sub>=0.48) outperformed the human listeners (EER=23.55 %, <em>C</em><sub>llr</sub>=0.75) overall and no improvement was found in the ASR output when fused with the listener scores. There was, unsurprisingly, considerable between-listener variability, with individual error rates varying from 0 % to 100 %. Performance was also variable according to the regional accent of the speakers. Notably, the ASR system performed worst with Newcastle samples, while humans performed best with the Newcastle samples. Human listeners were also more sensitive to high-salience between-accent comparisons, leading to almost categorical different-speaker conclusions, compared with the ASR system, whose performance with these samples was similar to within-accent comparisons.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103253"},"PeriodicalIF":2.4,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dual-path and interactive UNET for speech enhancement with multi-order fractional features 多阶分数特征语音增强的双路径交互式UNET
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-09 DOI: 10.1016/j.specom.2025.103248
Liyun Xu, Tong Zhang
{"title":"Dual-path and interactive UNET for speech enhancement with multi-order fractional features","authors":"Liyun Xu,&nbsp;Tong Zhang","doi":"10.1016/j.specom.2025.103248","DOIUrl":"10.1016/j.specom.2025.103248","url":null,"abstract":"<div><div>Preprocessing techniques for denoising and enhancement play a crucial role in significantly improving speech recognition performance. In neural-network-based speech enhancement methods, input features provide the network with essential information to learn from the data. In this study, we introduced multi-order fractional features into a speech enhancement network. These features can represent fine details and offer the advantages of multidomain joint analysis, thereby expanding the input information available to the network. Subsequently, a new dual-path UNET network was designed, in which pure speech and noise are estimated separately. By leveraging the complementarity of the two-branch target estimation, we introduced a fractional information interaction module between the two paths for parameter optimization. Finally, the association module combined the two output information streams to enhance the speech performance. The results from ablation experiments demonstrated the effectiveness of both the multi-order fractional features and the improved dual-path network. Comparison experiments revealed that the proposed algorithm significantly improved speech quality and intelligibility.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103248"},"PeriodicalIF":2.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gradient or categorical? Towards a phonological typology of illusory vowels in Mandarin 梯度还是分类?汉语虚元音的语音类型学研究
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-09 DOI: 10.1016/j.specom.2025.103252
Yizhou Wang , Rikke Bundgaard-Nielsen , Brett Baker , Olga Maxwell
{"title":"Gradient or categorical? Towards a phonological typology of illusory vowels in Mandarin","authors":"Yizhou Wang ,&nbsp;Rikke Bundgaard-Nielsen ,&nbsp;Brett Baker ,&nbsp;Olga Maxwell","doi":"10.1016/j.specom.2025.103252","DOIUrl":"10.1016/j.specom.2025.103252","url":null,"abstract":"<div><div>This paper argues that illusory vowel perception, i.e., the perception of non-existent vowels between two consonants by nonnative listeners, is gradient rather than categorical in Mandarin Chinese, and that the strength of illusion is predictable from the mismatches between the nonnative speech input and the listeners’ native phonological grammar. We examined five phonological scenarios where illusory vowels with different qualities can be perceived, and different illusion levels can be predicted by factors including syllable phonotactic constraints, vowel minimality, and the place of articulation consistency between the illusory vowel and its preceding consonant. The predictions were examined in an AXB discrimination task (Experiment 1) and an identification task (Experiment 2), which confirmed the predictions overall, while some paradigmatic differences were also observed. By comparing the current results and previous reports, we argue that a gradient rather than categorical account of illusory vowel is more suitable for explaining and predicting nonnative cluster perception. Specifically, the place of articulation feature of the preceding consonant is important for predicting contextual illusory vowels, which reflects nonnative listeners’ interpretation of perceived gestural score across multiple segments, supporting a direct realist view of speech perception.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103252"},"PeriodicalIF":2.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
"I said simPle, not symBol!"Is clear speech tailored to the listener's feedback “我说的是简单,不是符号!”清晰的演讲是根据听众的反馈量身定制的吗
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-08 DOI: 10.1016/j.specom.2025.103251
Maëva Garnier, Marion Dohen
{"title":"\"I said simPle, not symBol!\"Is clear speech tailored to the listener's feedback","authors":"Maëva Garnier,&nbsp;Marion Dohen","doi":"10.1016/j.specom.2025.103251","DOIUrl":"10.1016/j.specom.2025.103251","url":null,"abstract":"<div><div>This study investigates variation in the production of French stop consonants in two situations of speech clarity enhancement – when addressing an interlocutor experiencing listening difficulties in a disrupted communication environment (clear speech), and when correcting specific listener misunderstandings (corrected speech). Of interest is whether speech modifications are similar in both situations, or if adjustments during correction specifically address listeners' errors.</div><div>Twelve native French speakers interacted with the experimenter in a gaming task, first in conversational speech ('Conv') under normal conditions, then in clear speech prompted by apparent listening difficulties from the interlocutor ('Clear'). In the disrupted situation, some words were misunderstood by the listener (errors in either voicing or articulation place of stop consonants), resulting in additional corrections by the speaker ('Clear+Corr').</div><div>Significant changes in the timing and spectral cues of stop consonants (closure duration, Voice Onset Time, burst spectrum) were observed in both clear and corrected speech, improving distinctions between voiced and voiceless stops and articulation places. Additionally, clear speech prompted by listening difficulties showed global modifications (overall increased intensity, longer syllable duration, hyper-articulated vowels). Conversely, corrected speech focused solely on segmental modifications, with burst spectrum variations significantly influenced by listener feedback, emphasizing the distinction between the speaker's intended segment and the misunderstood one.</div><div>The results suggest that both situations of speech clarity enhancement involve different strategies, with speech correction relying on real-time perception of the listener's feedback to specifically address perceptual errors.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103251"},"PeriodicalIF":2.4,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Speakers’ communicative intentions lead to acoustic adjustments in native and non-native directed speech 说话者的交际意图导致本族语和非本族语直接语的声学调节
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-08 DOI: 10.1016/j.specom.2025.103250
Giorgio Piazza , Marina Kalashnikova , Laura Fernández-Merino , Clara D. Martin
{"title":"Speakers’ communicative intentions lead to acoustic adjustments in native and non-native directed speech","authors":"Giorgio Piazza ,&nbsp;Marina Kalashnikova ,&nbsp;Laura Fernández-Merino ,&nbsp;Clara D. Martin","doi":"10.1016/j.specom.2025.103250","DOIUrl":"10.1016/j.specom.2025.103250","url":null,"abstract":"<div><div>Speakers adapt acoustic features to factors such as listeners’ linguistic profiles. For instance, addressing a non-native listener elicits Non-Native Directed Speech (NNDS). However, whether these speech adaptations vary depending on the speakers’ didactic goals, in interaction with the listeners' profiles (i.e., native vs. non-native), remains unknown.</div><div>We recorded native Spanish speakers naming novel objects to aid their listeners’ performance in comprehension, pronunciation, and writing tasks. Each speaker interacted with a native (Native Directed Speech, NDS) and a non-native (NNDS) Spanish listener. We extracted measures of vowel hyperarticulation, duration, intensity, speech rate, and F0 to assess listener- and task-specific speech adjustments.</div><div>Our results showed that speakers hyperarticulated vowels to a greater extent in the writing condition compared to the comprehension condition, and during NNDS compared to NDS. Listener profile and task also impacted speakers’ F0 height, intensity, and vowel duration production. Therefore, speakers adjust acoustic features in their speech to achieve their didactic goals and accommodate their listener's profile. Also, speakers’ overall greater adaptation in NNDS than in NDS suggests that NNDS serves a didactic purpose.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103250"},"PeriodicalIF":2.4,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Early identification of bulbar motor dysfunction in ALS: An approach using AFM signal decomposition 肌萎缩性侧索硬化症患者球运动功能障碍的早期识别:一种利用AFM信号分解的方法
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-05-06 DOI: 10.1016/j.specom.2025.103246
Shaik Mulla Shabber , Mohan Bansal
{"title":"Early identification of bulbar motor dysfunction in ALS: An approach using AFM signal decomposition","authors":"Shaik Mulla Shabber ,&nbsp;Mohan Bansal","doi":"10.1016/j.specom.2025.103246","DOIUrl":"10.1016/j.specom.2025.103246","url":null,"abstract":"<div><div>Amyotrophic lateral sclerosis (ALS) is an aggressive neurodegenerative disorder that impacts the nerve cells in the brain and spinal cord that control muscle movements. Early ALS symptoms include speech and swallowing difficulties, and sadly, the disease is incurable and fatal in some instances. This study aims to construct a predictive model for identifying speech dysarthria and bulbar motor dysfunction in ALS patients, using speech signals as a non-invasive biomarker. Utilizing an amplitude and frequency modulated (AFM) signal decomposition model, the study identifies distinctive characteristics crucial for monitoring and diagnosing ALS. The study focuses on classifying ALS patients and healthy controls (HC) through a machine-learning approach, employing the TORGO database for analysis. Recognizing speech signals as potential biomarkers for ALS detection, the study aims to achieve early identification without invasive measures. An ensemble learning classifier attains a remarkable 97% accuracy in distinguishing between ALS and HC based on features extracted using the AFM signal model.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103246"},"PeriodicalIF":2.4,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An update rule for multiple source variances estimation using microphone arrays 使用麦克风阵列进行多源方差估计的更新规则
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-04-30 DOI: 10.1016/j.specom.2025.103245
Fan Zhang , Chao Pan , Jingdong Chen , Jacob Benesty
{"title":"An update rule for multiple source variances estimation using microphone arrays","authors":"Fan Zhang ,&nbsp;Chao Pan ,&nbsp;Jingdong Chen ,&nbsp;Jacob Benesty","doi":"10.1016/j.specom.2025.103245","DOIUrl":"10.1016/j.specom.2025.103245","url":null,"abstract":"<div><div>This paper addresses the problem of time-varying variance estimation in scenarios with multiple speech sources and background noise using a microphone array, which is an important issue in speech enhancement. Under the optimal principle of maximum likelihood (ML), the variance estimation under the general cases occurs no explicit formula, and all the variances require to be updated iteratively. Inspired by the fixed-point iteration (FPI) method, we derive an update rule for variance estimation by introducing a dummy term and exploiting the ML condition. Insights into the update rule is investigated and the relationship with the variance estimates under least-squares (LS) principle is presented. Finally, by simulations, we show that the resulting variance update rule is very efficient and effective, which requires only a few iterations to converge, and the estimation error is very close to the Cramér–Rao Bound (CRB).</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103245"},"PeriodicalIF":2.4,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep learning based stage-wise two-dimensional speaker localization with large ad-hoc microphone arrays 基于深度学习的舞台二维扬声器定位与大型特设麦克风阵列
IF 2.4 3区 计算机科学
Speech Communication Pub Date : 2025-04-29 DOI: 10.1016/j.specom.2025.103247
Shupei Liu , Linfeng Feng , Yijun Gong , Chengdong Liang , Chen Zhang , Xiao-Lei Zhang , Xuelong Li
{"title":"Deep learning based stage-wise two-dimensional speaker localization with large ad-hoc microphone arrays","authors":"Shupei Liu ,&nbsp;Linfeng Feng ,&nbsp;Yijun Gong ,&nbsp;Chengdong Liang ,&nbsp;Chen Zhang ,&nbsp;Xiao-Lei Zhang ,&nbsp;Xuelong Li","doi":"10.1016/j.specom.2025.103247","DOIUrl":"10.1016/j.specom.2025.103247","url":null,"abstract":"<div><div>While deep-learning-based speaker localization has shown advantages in challenging acoustic environments, it often yields only direction-of-arrival (DOA) cues rather than precise two-dimensional (2D) coordinates. To address this, we propose a novel deep-learning-based 2D speaker localization method leveraging ad-hoc microphone arrays. Specifically, each ad-hoc array comprises randomly distributed microphone nodes, each of which is equipped with a traditional array. Our approach first employs convolutional neural networks at each node to estimate speaker directions.Then, we integrate these DOA estimates using triangulation and clustering techniques to get 2D speaker locations. To further boost the estimation accuracy, we introduce a node selection algorithm that strategically filters the most reliable nodes. Extensive experiments on both simulated and real-world data demonstrate that our approach significantly outperforms conventional methods. The proposed node selection further refines performance. The real-world dataset in the experiment, named Libri-adhoc-node10 which is a newly recorded data described for the first time in this paper, is online available at <span><span>https://github.com/Liu-sp/Libri-adhoc-nodes10</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":49485,"journal":{"name":"Speech Communication","volume":"172 ","pages":"Article 103247"},"PeriodicalIF":2.4,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143892370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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