Raising the Chinese Voice

As China celebrates the 40th anniversary of joining the International Atomic Energy Agency,an expert talks about how her organization is nurturing talents for overseas projects.

Securing User Authentication with Server-Side Voice Verification

User authentication is critical to the security of any information system. The traditional text-based passwords and even biometric systems based on face and fingerprint validation suffer from various drawbacks. Voice-based authentication systems have emerged as an effective alternative method. Within the user authentication systems, the server-side voice authentication systems added advantages. The purpose of this paper is to present an innovative approach to the use of voice verification for user authentication. This paper describes a new framework for the implementation of server-side voice authentication, ensuring that only the users who are authenticated and validated can access the system. In addition to providing enhanced security and a more pleasant user experience, this technology has potential applications in a wide range of fields.

Voices from the Two Sessions:Next Stage of China’s Development

During this year’s Two Sessions,the First Session of the 14th National People’s Congress(NPC,the top legislative body)and the First Session of the 14th National Committee of the Chinese People’s Political Consultative Conference(CPPCC,the top advisory body),in March,nine press briefings were held at the Great Hall of the People in Beijing,at which 18 NPC deputies,24 CPPCC National Committee members,and nine leaders of government ministries and commissions shared stories of how they performed their duties,responded to questions of common concern,and looked forward to the next stage of China’s development.

The Voice of Mulan

Since 2010, Beijing Mulan Community Service Center has been dedicated to providing female migrant workers with services and help to adapt to urban life.IN January 2023, an original short documentary called Song of Freedom was released. It takes an in-depth look into the lives and backstories of a special group of photography enthusiasts at the Mulan Community Service Center in Beijing.

The Dilemma of Women’s Voices in the Post-Epidemic Era:Misconceptions of Feminism on Digital Media Platforms-The Example of Sina Weibo

Weibo,one of China’s largest digital media platforms,has become a major platform for women’s voices to fight for equality.However,misconceptions of feminism on Weibo have become obstacles to women’s voices,for which the platforms did not post women’s views prominently.From the perspective of women themselves,this paper adopted a questionnaire to study the misunderstanding of feminism and its impact on women’s expression on Weibo.

From the Voices in the Narratives of After-School Support Advisors: Support for Children’s After-School Support Advisors in Japan

This paper examines how advisors perceive the voices made by Mr.A(pseudonym),the founder of after-school support for children(Initiative Z:pseudonym)in Japan,to advisors who support children.Furthermore,the purpose of this study is to find out how advisors think about the voices and that the voices have led or not advisors to support children,if to do so,what points are key to continuing support for children.Therefore,in Initiative Z,I conducted a survey of two advisors who were approached by Mr.A,who is involved in supporting children as an advisor.As a result of analyzing the narratives obtained from interviews with the two advisors,it was found that the advisor had a sense of being recognized by Mr.A because Mr.A acknowledged the advisor’s way of life.This feeling on the part of the advisor led to trust in Mr.A,and the advisor was in tune with Mr.A’s thoughts on after-school support,suggesting that the advisor was providing support to the child.

The Loss of Textual Function Caused by Passive Voice Translation

Passive voice is an important grammatical phenomenon,and the translation of English passive voice is a hot issue in translation research.In translation,some linguistic phenomena of the source language cannot be expressed in the target language,and the translation has limits of translatability.However,fewer scholars have studied the loss of textual function caused by the translation of passive voice.The authors argue that the conversion of voice in the translation process can,to a certain extent,cause the loss of meaning.In this paper,the authors analyze the loss of textual function caused by the conversion of English passive voice to Chinese active voice from the perspective of the limits of translatability.The authors believe that this phenomenon is common and unavoidable.Therefore,when dealing with the passive voice,the translator should preserve its discourse function as much as possible,rather than just“converting passive to active voice”.

Attention-Enhanced Voice Portrait Model Using Generative Adversarial Network

Voice portrait technology has explored and established the relationship between speakers’ voices and their facialfeatures, aiming to generate corresponding facial characteristics by providing the voice of an unknown speaker.Due to its powerful advantages in image generation, Generative Adversarial Networks (GANs) have now beenwidely applied across various fields. The existing Voice2Face methods for voice portraits are primarily based onGANs trained on voice-face paired datasets. However, voice portrait models solely constructed on GANs facelimitations in image generation quality and struggle to maintain facial similarity. Additionally, the training processis relatively unstable, thereby affecting the overall generative performance of the model. To overcome the abovechallenges,wepropose a novel deepGenerativeAdversarialNetworkmodel for audio-visual synthesis, namedAVPGAN(Attention-enhanced Voice Portrait Model using Generative Adversarial Network). This model is based ona convolutional attention mechanism and is capable of generating corresponding facial images from the voice ofan unknown speaker. Firstly, to address the issue of training instability, we integrate convolutional neural networkswith deep GANs. In the network architecture, we apply spectral normalization to constrain the variation of thediscriminator, preventing issues such as mode collapse. Secondly, to enhance the model’s ability to extract relevantfeatures between the two modalities, we propose a voice portrait model based on convolutional attention. Thismodel learns the mapping relationship between voice and facial features in a common space from both channeland spatial dimensions independently. Thirdly, to enhance the quality of generated faces, we have incorporated adegradation removal module and utilized pretrained facial GANs as facial priors to repair and enhance the clarityof the generated facial images. Experimental results demonstrate that our AVP-GAN achieved a cosine similarity of0.511, outperforming the performance of our comparison model, and effectively achieved the generation of highqualityfacial images corresponding to a speaker’s voice.

Fuzzy Proportional Integral Derivative control of a voice coil actuator system for adaptive deformable mirrors

Research on adaptive deformable mirror technology for voice coil actuators(VCAs)is an important trend in the development of large ground-based telescopes.A voice coil adaptive deformable mirror contains a large number of actuators,and there are problems with structural coupling and large temperature increases in their internal coils.Additionally,parameters of the traditional proportional integral derivative(PID)control cannot be adjusted in real-time to adapt to system changes.These problems can be addressed by introducing fuzzy control methods.A table lookup method is adopted to replace real-time calculations of the regular fuzzy controller during the control process,and a prototype platform has been established to verify the effectiveness and robustness of this process.Experimental tests compare the control performance of traditional and fuzzy proportional integral derivative(Fuzzy-PID)controllers,showing that,in system step response tests,the fuzzy control system reduces rise time by 20.25%,decreases overshoot by 78.24%,and shortens settling time by 67.59%.In disturbance rejection experiments,fuzzy control achieves a 46.09%reduction in the maximum deviation,indicating stronger robustness.The Fuzzy-PID controller,based on table lookup,outperforms the standard controller significantly,showing excellent potential for enhancing the dynamic performance and disturbance rejection capability of the voice coil motor actuator system.

Classification research of TCM pulse conditions based on multi-label voice analysis

Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning.Audio features were extracted from voice recordings in the TCM pulse condition dataset.The obtained features were combined with information from tongue and facial diagnoses.A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation,and the modeling methods were validated using publicly available datasets.Results: The analysis showed that the proposed method achieved an accuracy of 92.59%on the public dataset.The accuracies of the three single-label pulse manifestation models in the test set were 94.27%,96.35%,and 95.39%.The absolute accuracy of the multi-label model was 92.74%.Conclusion: Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.

Comprehensive Analysis of Gender Classification Accuracy across Varied Geographic Regions through the Application of Deep Learning Algorithms to Speech Signals

This article presents an exhaustive comparative investigation into the accuracy of gender identification across diverse geographical regions,employing a deep learning classification algorithm for speech signal analysis.In this study,speech samples are categorized for both training and testing purposes based on their geographical origin.Category 1 comprises speech samples from speakers outside of India,whereas Category 2 comprises live-recorded speech samples from Indian speakers.Testing speech samples are likewise classified into four distinct sets,taking into consideration both geographical origin and the language spoken by the speakers.Significantly,the results indicate a noticeable difference in gender identification accuracy among speakers from different geographical areas.Indian speakers,utilizing 52 Hindi and 26 English phonemes in their speech,demonstrate a notably higher gender identification accuracy of 85.75%compared to those speakers who predominantly use 26 English phonemes in their conversations when the system is trained using speech samples from Indian speakers.The gender identification accuracy of the proposed model reaches 83.20%when the system is trained using speech samples from speakers outside of India.In the analysis of speech signals,Mel Frequency Cepstral Coefficients(MFCCs)serve as relevant features for the speech data.The deep learning classification algorithm utilized in this research is based on a Bidirectional Long Short-Term Memory(BiLSTM)architecture within a Recurrent Neural Network(RNN)model.

All Voices Should Be Heard and Heeded in a True Democracy

For all its different forms,democracy is expected to promote people’s well-being,instead of being weaponized to justify hegemony,as democracy is also a principle of global governance.

Young Voices for a Better Future

On September 4,the"Strengthening Youth Exchange to Build a Friendly Future"China-Laos Youth Dialogue was held at the National University of Laos (NUOL) in Vientiane with an aim to consolidate bilateral friendship,promote the building of a ChinaLaos community with a shared future,and strengthen exchanges and cooperation between the youth of both countries.

Letters of the Hebrew Alphabet:As Sound Notation

While Bronze Age Proto-Sinaic and Proto-Canaanite syllabic inscriptions were found engraved on fragments of pottery and stone,evidence of early alphabetic script was also inscribed in ink onto a massive parchment scroll,known as the Torah.Albeit the contours of those original characters transformed over time,it took the clairvoyant genius of Moses,and later the scribes of Ancient Israel,to configure and adapt ancient semitic prototypes into phonetic letters,producing the greatest literary document in the history of the world,the Bible.This article summarizes the acoustic properties of that alphabet,with further historical considerations.

Greater Voice for Global South

The African Union's(AU)admission as a new G20 member is a diplomatic breakthrough and a major step towards a more balanced world order in favour of the developing nations.In September,the G20 Summit in Delhi,India,accepted the AU as its new member,giving the continent a greater voice in the global economic affairs.

“Here,We Investigate If There Is...”:研究文章摘要中自我提及的功能性调查

本研究考察土木工程、政治学和兽医学领域研究论文摘要中的作者提及。由于这些学科较少受到关注,我们从功能性视角在一个超百万词符的论文摘要语料库中分析显性的作者自我提及。我们首先对语料库中显性第三人称复数作者自我提及进行初步搜索,并手动分析超过6,000个实例,以检查它们是否都标记作者在文本中的自我呈现。此后再根据Xia(2018)的框架手动对自我提及的修辞功能进行分类。结果发现,政治学基于“we”的作者自我提及频率超过其他学科。关于作者自我提及的密度,我们发现每个学科都偏好于在其摘要中以不同的作者角色更加明显地出现。例如,政治学在其摘要中通过“提出理论或方法”呈现自我,而土木工程和兽医学的作者使用较少地使用这种修辞特征借以提及自我。关于“we”的自我提及的功能分析,所有三个学科都更多地显示了其降低风险功能,如“叙述实验程序和方法论”。本文突出学术语篇的跨学科和功能分析重要性,以期为每个学科设计学术用途英语(EAP)活动提出教学启示。

视听翻译模式Voice-over的研究综述

本文聚焦视听翻译模式Voice-over,分析了国内外发表于翻译研究相关学术期刊上的相关学术论文,探讨国内外Voice-over模式的具体概念、发展阶段与应用领域等问题,认为国内外翻译研究界对Voice-over这一视听翻译模式的整体关注度不高,但近年来有增强的趋势;该模式除了应用于视听翻译领域外,开始应用于其他领域;学科意识逐渐增强,呈现多学科互相促进之势。本文对Voice-over模式的发展阶段、分类研究与国内研究现状做出了整理,以期为国内该模式的研究发展有所助益。

From Silence to Voice： An Interpretation of Black Motherhood in Sula

Toni Morrison has made great achievements in American literary history. In her famous work Sula, motherhood is an essential theme which has attracted public attention. This essay interprets the abnormal maternal love provided by silenced black mothers in Sula and the ways for black women to break the silence.

An Analysis of Passive Voice from the Perspective of Interpersonal Metafunction

As a type of grammatical phenomenon frequently occurring both orally and in written texts,passive voice plays a significant role in human communication.This paper sets out to analyze this grammatical phenomenon on the basis of interpersonal metafunction,one of the three metafunctions proposed by M.K.Halliday.

A Preliminary Receiver Operating Characteristic Analysis on Voice Handicap Index Results of the Greek Voice-Disordered Patients

Objective(s): The cutting-edge assessment of voice disorders includes objective and subjective methods in the daily clinical practice. The latter assessment is usually performed through the administration of self-reported questionnaires. Voice Handicap Index (VHI) is one of the most widely used tools both in clinical practice and in research level. This tool-questionnaire was employed in this research along with the Voice Evaluation Template (VEF). In turn, the aim of this study was to analyse and produce the cut-off points of VHI for voice-disordered patients in Greece by using Receiver Operating Characteristic Curves (ROC Curves). Methods: Sixty-three participants (40 non-dysphonic and 23 with different types of dysphonia) were classified by ENT (Ear, Nose, and Throat) doctors and SLPs (Speech-Language Pathologists). The Hellenic VHI along with the translated Greek version of the VEF was administered to the subjects of this research. Results: The voice-disordered subjects exhibited higher overall VHI scores (in total and in its 3 subdomains) compared to the control group. Statistical significant differences were found between dysphonic and non-dysphonic participants for all VHI’s construct domains. The cut-off point of VHI total score was estimated at the value of 14.50 (sensitivity: 0.870, 1-specificity: 0.000). Moreover, the cut-off points of the three subdomains were computed as 7.50 for functional (sensitivity: 0.783, 1-specificity: 0.000), 8.50 for physical (sensitivity: 0.739, 1-specificity: 0.000) and 8.50 for emotional domain (sensitivity: 0.783, 1-specificity: 0.050). Conclusion: The preliminary statistical and ROC data analysis of VHI concluded that by using this type of assessment method, populations with or without voice disorders (in Greece) can be distinguished. Albeit this tool is a non-interventional method it could consequently offer an adequate screening and monitoring capability.