Whisper intelligibility enhancement based on noise robust feature and SVM

A machine learning based speech enhancement method is proposed to improve the intelligibility of whispered speech. A binary mask estimated by a two-class support vector machine （SVM） classifier is used to synthesize the enhanced whisper. A novel noise robust feature called Gammatone feature cosine coefficients （GFCCs） extracted by an auditory periphery model is derived and used for the binary mask estimation. The intelligibility performance of the proposed method is evaluated and compared with the traditional speech enhancement methods. Objective and subjective evaluation results indicate that the proposed method can effectively improve the intelligibility of whispered speech which is contaminated by noise. Compared with the power subtract algorithm and the log-MMSE algorithm, both of which do not improve the intelligibility in lower signal-to-noise ratio （SNR） environments, the proposed method has good performance in improving the intelligibility of noisy whisper. Additionally, the intelligibility of the enhanced whispered speech using the proposed method also outperforms that of the corresponding unprocessed noisy whispered speech.

Speech intelligibility and auditory perception of pre-school children with Hearing Aid,cochlear implant and Typical Hearing

Purpose:There is a growing interest in speech intelligibility and audito ry perception of deaf children.The aim of the present study was to compare speech intelligibility and auditory perception of pre-school children with Hearing Aid(HA),Cochlear Implant(Cl),and Typical Hearing(TH).Methods:The research design was descriptive-analytic and comparative.The participants comprised 75 male pre-school children aged 4-6 years in the 2017-2018 from Tehran,Iran.The participants were divided into three groups,and each group consisted of 25 children.The first and second groups were respectively selected from pre-school children with HA and CI using the convenience sampling method,while the third group was selected from pre-school children with TH by random sampling method.All children completed Speech Intelligibility Rating and Catego ries of Auditory Performance Questionnaires.Results:The findings indicated that the mean scores of speech intelligibility and auditory perception of the group with TH were significantly higher than those of the other groups(P<0.0001).The mean scores of speech intelligibility in the group with CI did not significantly differ from those of the group with HA(P<0.38).Also,the mean scores of auditory perception in the group with CI were significantly higher than those of the group with HA(P<0.002).Conclusion:The results showed that auditory perception in children with CI was significantly higher than children with HA.This finding highlights the importance of cochlear implantation at a younger age and its significant impact on auditory perception in deaf children.

Intelligibility of Reverberant Speech with Amplification: Limitation of Speech Intelligibility Metrics, and a Preliminary Examination of an Alternative Approach

This study examines the effect of speech level on intelligibility in different reverberation conditions, and explores the potential of loudness-based reverberation parameters proposed by Lee et al. [J. Acoust. Soc. Am., 131(2), 1194-1205 (2012)] to explain the effect of speech level on intelligibility in various reverberation conditions. Listening experiments were performed with three speech levels (LAeq of 55 dB, 65 dB and 75 dB) and three reverberation conditions (T20 of 1.0 s, 1.9 s and 4.0 s), and subjects listened to speech stimuli through headphones. Collected subjective data were compared with two conventional speech intelligibility parameters (Speech Intelligibility Index and Speech Transmission Index) and two loudness-based reverberation parameters (EDTN and TN). Results reveal that the effect of speech level on intelligibility changes with a room’s reverberation conditions, and that increased level results in reduced intelligibility in highly reverberant conditions. EDTN and TN explain this finding better than do STI and SII, because they consider many psychoacoustic phenomena important for the modeling of the effect of speech level varying with reverberation.

Speech Intelligibility Enhancement Algorithm Based on Multi-Resolution Power-Normalized Cepstral Coefficients(MRPNCC)for Digital Hearing Aids

Speech intelligibility enhancement in noisy environments is still one of the major challenges for hearing impaired in everyday life.Recently,Machine-learning based approaches to speech enhancement have shown great promise for improving speech intelligibility.Two key issues of these approaches are acoustic features extracted from noisy signals and classifiers used for supervised learning.In this paper,features are focused.Multi-resolution power-normalized cepstral coefficients(MRPNCC)are proposed as a new feature to enhance the speech intelligibility for hearing impaired.The new feature is constructed by combining four cepstrum at different time–frequency(T–F)resolutions in order to capture both the local and contextual information.MRPNCC vectors and binary masking labels calculated by signals passed through gammatone filterbank are used to train support vector machine(SVM)classifier,which aim to identify the binary masking values of the T–F units in the enhancement stage.The enhanced speech is synthesized by using the estimated masking values and wiener filtered T–F unit.Objective experimental results demonstrate that the proposed feature is superior to other comparing features in terms of HIT-FA,STOI,HASPI and PESQ,and that the proposed algorithm not only improves speech intelligibility but also improves speech quality slightly.Subjective tests validate the effectiveness of the proposed algorithm for hearing impaired.

Linguistic Dimensions of Accentedness,Comprehensibility and Intelligibility:Exploring Listener Effects in American,Moroccan,Turkmen and Chinese Varieties of English

The present study examines accentedness, comprehensibility, and intelligibility of American English, Moroccan English, Turkmen English, and Chinese English, from the perspectives of three groups of listeners: native speakers of English and Chinese speakers of English with or without international experiences. Of the 145 listeners, 38 had face-to-face interviews. These listener groups were asked to listen to the recordings of the four English varieties and fill in a cloze test.Results indicated that the three listener groups differed significantly in rating comprehensibility of American English, Moroccan English and Chinese English but they did not give Turkmen English statistically different ratings;there were no significant differences in accentedness ratings except for Chinese English;and there were significant differences in the intelligibility scores of the four English varieties. In addition, with respect to seven linguistic variables-speed, clarity, intonation,smoothness and fluency, vocal intensity, pause, vocabulary and grammar, there were significant differences in three listener groups’ rating of six variables in American English except the one of“speed”. By contrast, Chinese English received significantly different ratings only in “proper speed”. No differences were found in the ratings for Moroccan English and Turkmen English.Finally, unlike Chinese listeners without international experiences, native listeners and Chinese listeners with international experiences shared some similarities in correlations between the ratings of accentedness and comprehensibility and those of linguistic variables on Moroccan English,Turkmen English, and Chinese English. However, the results for American English from Chinese listeners without international experiences and native listeners seemed to be more alike. Linguistic variables correlating with accentedness and comprehensibility of American English showed a mixed profile. Qualitative data provided more variant elaborations on the pronunciations and language uses of the speakers.

Evaluation of Speech Intelligibility of a Cleft Palate Patient with Speech Prosthesis before and after Palatographical Analysis and Prosthesis Modification

The aim of the study was to evaluate the alterations in speech intelligibility in a cleft palate patient, before and after extending and modifying the palatal contour of the existing prosthesis using a correctable wax recording. An eight-year-old girl studying in second grade with a velopharyngeal defect using an obturator reported to the outpatient clinic complaining of lack in clarity of speech. The existing prosthesis was lacking a speech bulb hence it was decided to add the speech bulb to the existing prosthesis and evaluate the speech. Even after the use of speech bulb it was observed that she was unable to pronounce the vowels and words like shoe, vision, cheer, etc. clearly. Hence, a palatography was done using a correctable wax technique and the existing prosthesis was altered accordingly. Great improvement in speech, mastication, and velopharyngeal function was achieved after the palatography alteration of the existing prosthesis.

Explaining How： The Intelligibility of Mechanical Explanations in Boyle

In this paper I examine the following claims by William Eaton in his monograph Boyle on Fire： （i） that Boyle＇s religious convictions led him to believe that the world was not completely explicable, and this shows that there is a shortcoming in the power of mechanical explanations; （ii） that mechanical explanations offer only sufficient, not necessary explanations, and this too was taken by Boyle to be a limit in the explanatory power of mechanical explanations; （iii） that the mature Boyle thought that there could be more intelligible explanatory models than mechanism; and （iv） that what Boyle says at any point in his career is incompatible with the statement of Maria Boas-Hall, i.e., that the mechanical hypothesis can explicate all natural phenomena. Since all four of these claims are part of Eaton＇s developmental argument, my rejection of them will not only show how the particular developmental story Eaton diagnoses is inaccurate, but will also explain what limits there actually are in Boyle＇s account of the intelligibility of mechanical explanations. My account will also show why important philosophers like Locke and Leibniz should be interested in Boyle＇s philosophical work.

Improving Intelligibility and Pronunciation Through Phonics Instruction for 5th Grade EFL Learners of Chilean Public Schools

Based on the curriculum proposed by the Chilean Ministry of Education,schools are offered textbooks and complementary guides for teachers as a tool for the learning process of the students.Bearing in mind that the Ministry suggests a list of learning targets that must be accomplished at the end of the academic year,the author of said textbooks offers activities that are meant to fulfil these objectives.However,and considering that one of the goals of the Ministry is that 5th grade students,at the end of their learning process,communicate an intelligible message with a proper pronunciation,a lack of activities and methodologies focused on the improvement of these aspects can be noticed.Therefore,this proposal will present teachers with phonics as a methodology that may help students improve intelligibility and the recognition and production of segmental aspects of pronunciation.

The Intelligibility of Thai Speakers’ Pronunciation from Chinese Listeners’ Perspective

The intelligibility of Thai speakers’English pronunciation from Chinese listeners’perspectives have not been analyzed deeply in current researches.As is known to all,the interconnection between China and Thailand is greatly developed with the sup⁃port of‘One Belt and One Road initiative’.However,it is inevitable for non-native English speakers to encounter some pronuncia⁃tion problems,which would affect them to communicate with each other.As for Chinese English learners,Thai accent to some ex⁃tent would be a great challenge during the conversation with Thai speakers.In order to promote a better communication,it is neces⁃sary to analyze the origin of Thai speakers’English pronunciation problems.Therefore,this research based on the previous studies to categorize the common pronunciation problems among Thai speakers.However,there are numerous English learners in Thailand that have various language proficiency.In this respect,two Thai speakers with different IELTS scores have been selected for com⁃parison,and six postgraduate students in the Education University of Hong Kong are invited to serve as a listener.As a result,this research will base on the listeners’feedback to highlight some suggestions to enhance the intelligibility of Thai speakers’pronun⁃ciation.

Obstacles for Chinese EFL Learners to Improve Speech Intelligibility

As the primary means of communication,speech is an essential aspect for humans to interact and build connections in the social world.Speech intelligibility is critical in social communication;unintelligibility may lead to confusion,misunderstanding,and frustration.Many Chinese learners of English find it challenging to apply English into social interaction and reach mutual intelligibility with international communicators.This article analyzes the obstacles impeding Chinese EFL learners’speech intelligibility development,from the aspects of phonology(segmental and suprasegmental features)and pragmatics.Some strategies are proposed to help Chinese learners ameliorate phonology and pragmatics problems and improve speech intelligibility in English communication.

Intelligibility or Native-like Proficiency--What Should Be the Priorities of English Pronunciation Teaching？

Pronunciation plays an important role in English language teaching. This essay reviews literature on English pronunciation teaching and English as a Lingua Franca. Through examining the priorities in English pronunciation teaching, teachers' and students' attitudes towards intelligibility and native-like proficiency, as well as the value of adhering to a language standard, the author provides rational reasons for choosing intelligibility rather than native-like proficiency as the priority of English pronunciation teaching.

Moving English Pronunciation Teaching Approach Beyond Native-like Proficiency or Standard Models:International Mutual Intelligibility and Lingua Franca Core(LFC)

As English serves as an international language(or Lingua Franca),increasing attention is paid to English pedagogy of English as International Language(EIL).This essay maintains that international mutual intelligibility is a more practical and achievable goal in English pronunciation pedagogy,compared with native-like proficiency and various of standard English.Meanwhile,Jenkins(2000)’s Lingua Franca Core(LFC),a Phonological Core for EIL,is briefly introduced.

Intelligibility in Chinese English Spoken in Central China

It is widely accepted nowadays that intelligibility is the essential goal for most learners of English,and it is not necessary for them to mimic all aspects of native-speaker English in order to achieve a high level of intelligibility.However,the features that are needed in order to make oneself easily understood by listeners from elsewhere remain controversial.The current research focuses on thirteen five-minute recordings of conversations between young speakers of English in central China and an interviewer from Britain,in order to determine which features of their speech gave rise to misunderstandings.It was found that,in the 18 tokens of misunderstanding identified,4 resulted from lexical semantics(22%),3 from Chinese place names(17%),3 from grammar(17%),and 11 from pronunciation(61%)(with some tokens cross-classified).The most common phonological factors giving rise to loss of intelligibility were omission of syllables and simplification of word-initial consonant clusters.

Early identification of stroke through deep learning with multi-modal human speech and movement data

Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized training.In this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute settings.We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the FAST.We compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and MViT.We found that the findings of our deep learning model had a higher clinical value compared with the other approaches.Moreover,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech audio.These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.

"Nativeness" and Intelligibility:Impacts of Intercultural Experience Through English as a Lingua Franca on Chinese Speakers' Language Attitudes

This paper investigates the impacts of intercultural experience through English as a lingua franca （ELF） on language attitudes, with the focus on Chinese speakers＇ narratives of ELF experience in relation to their views of Englishes. The data retrieved through 769 questionnaires and 35 interviews with Chinese users of English revealed the impacts in four aspects. First, the lack of ELF experience helps to maintain the assumption that conformity to native English is necessary for interactants to understand each other. Second, ELF experience triggers the question about the exclusive connection between nativeness and intelligibility. Third, it raises challenges to the exclusive relevance of native English for successful intercultural communication. Fourth, it helps to develop an awareness of intercultural communication strategies as important for communicative effectiveness in the context of the diversity of English. Attitudes revealed in the four aspects all point to a concern with the issue what is intelligible English. This paper thus discusses intelligibility in relation to （non-） nativeness and the role of intercultural experience in making sense of the issue of intelligibility, which leads to the exploration of pedagogical implications of this study.

Recognition and quality mapping of traditional herbal drugs:way forward towards artificial intelligence

The use of traditional herbal drugs derived from natural sources is on the rise due to their minimal side effects and numerous health benefits.However,a major limitation is the lack of standardized knowledge for identifying and mapping the quality of these herbal medicines.This article aims to provide practical insights into the application of artificial intelligence for quality-based commercialization of raw herbal drugs.It focuses on feature extraction methods,image processing techniques,and the preparation of herbal images for compatibility with machine learning models.The article discusses commonly used image processing tools such as normalization,slicing,cropping,and augmentation to prepare images for artificial intelligence-based models.It also provides an overview of global herbal image databases and the models employed for herbal plant/drug identification.Readers will gain a comprehensive understanding of the potential application of various machine learning models,including artificial neural networks and convolutional neural networks.The article delves into suitable validation parameters like true positive rates,accuracy,precision,and more for the development of artificial intelligence-based identification and authentication techniques for herbal drugs.This article offers valuable insights and a conclusive platform for the further exploration of artificial intelligence in the field of herbal drugs,paving the way for smarter identification and authentication methods.

Machine learning applications in healthcare clinical practice and research

Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligence.Among its various applications,it has proven groundbreaking in healthcare as well,both in clinical practice and research.In this editorial,we succinctly introduce ML applications and present a study,featured in the latest issue of the World Journal of Clinical Cases.The authors of this study conducted an analysis using both multiple linear regression(MLR)and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease(NAFLD).Their results implicated age as the most important determining factor in both groups,followed by lactic dehydrogenase,uric acid,forced expiratory volume in one second,and albumin.In addition,for the NAFLD-group,the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure,as compared to plasma calcium and body fat for the NAFLD+group.However,the study's distinctive contribution lies in its adoption of ML methodologies,showcasing their superiority over traditional statistical approaches(herein MLR),thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.

An Empirical Study on the Intelligibility of Spoken by Chinese University Students

This paper reports an empirical study on the intelligibility of English spoken by Chinese University students, aiming to identify the factors that hamper intelligibility and suggest the pedagogical priorities in pronunciation teaching. The participants were 45 university sophomores, whose recorded data were transcribed and evaluated correspondingly by 45 educated listeners from 22 different countries. The results reveal that although the speakers＇ English may have strong accents, it is intelligible to international listeners to a great extent. Phonological problems that hamper intelligibility are vowel length and quality, simplification of diphthongs, voiced and voiceless plosives, dental fricative, word ending nasals, consonant clusters as well as stress, rhythm and intonation.

Synthetic data as an investigative tool in hypertension and renal diseases research

There is a growing body of clinical research on the utility of synthetic data derivatives,an emerging research tool in medicine.In nephrology,clinicians can use machine learning and artificial intelligence as powerful aids in their clinical decision-making while also preserving patient privacy.This is especially important given the epidemiology of chronic kidney disease,renal oncology,and hypertension worldwide.However,there remains a need to create a framework for guidance regarding how to better utilize synthetic data as a practical application in this research.

Harnessing artificial intelligence for identifying conflicts of interest in research

This editorial explores the transformative potential of artificial intelligence(AI)in identifying conflicts of interest(COIs)within academic and scientific research.By harnessing advanced data analysis,pattern recognition,and natural language processing techniques,AI offers innovative solutions for enhancing transparency and integrity in research.This editorial discusses how AI can automatically detect COIs,integrate data from various sources,and streamline reporting processes,thereby maintaining the credibility of scientific findings.