Stylistic Analysis of Rudy Wiebe＇ s Where Is the Voice Coming From？

The short story"Where Is the Voice Coming From?"effectively and remarkably illustrates Wiebe’s writing techniques and humanity thoughts.With the stylistic analysis of the points of view,tone,diction,sentence variety,rhetorical devices and graphological features presented in the work,it can be seen how well Wiebe can do in touching and enlightening readers with his writing skills and techniques.Through what he presents in the story,Wiebe ironically overthrows the authority of Canadian police on making the historical story and calls on people to ponder on the truth and the wordless cry of the Cree Indians.And at the same time,he calls for people’s more understanding,trust and respect for the minority culture,an essential part of a complete multicultural country.

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.

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.

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.

“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。

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 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.

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.

Voice from the NPC and CPPCC Sessions on Cultural and Tourism

This article will present readers with views and proposals on cultural and tourism development in China from deputies to the National People's Congress(NPC)and members of the Chinese People's Political Consultative Conference(CPPCC).

“Voice From the Tibet Plateau”——Tibet Delegation Visits European Parliament and Belgium

Free Belgian Times and Viewpoints (weekly) of Belgium both released signed articles on March 30 and April 8 this year reporting on the delegation of the People’s Congress of the Tibet Autonomous Region visiting Belgium and the European Parliament.According to the articles, prior to the visit, which was led by Radi, Chairman of the People’s Congress of the

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.

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.

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.

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 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”.

Occasions for Employing the Methods for Translating the English Passive Voice

The paper compares the difference between the passive voices of English and Chinese,the occasions for employing the main methods for translating English passive sentences,on the base of the characteristic of English passive voice.

A HMM-based Mandarin Chinese Singing Voice Synthesis System

We propose a mandarin Chinese singing voice synthesis system, in which hidden Markov model (HMM)-based speech synthesis technique is used. A mandarin Chinese singing voice corpus is recorded and musical contextual features are well designed for training. F0 and spectrum of singing voice are simultaneously modeled with context-dependent HMMs. There is a new problem, F0 of singing voice is always sparse because of large amount of context, i.e., tempo and pitch of note, key, time signature and etc. So the features hardly ever appeared in the training data cannot be well obtained. To address this problem, difference between F0 of singing voice and that of musical score (DF0) is modeled by a single Viterbi training. To overcome the over-smoothing of the generated F0 contour, syllable level F0 model based on discrete cosine transforms (DCT) is applied, F0 contour is generated by integrating two-level statistical models. The experimental results demonstrate that the proposed system outperforms the baseline system in both objective and subjective evaluations. The proposed system can generate a more natural F0 contour. Furthermore, the syllable level F0 model can make singing voice more expressive. © 2014 Chinese Association of Automation.

Female Voice through the Epistolary Form in The Color Purple

Alice Walker’s representative novel The Color Purple adopts the epistolary form to tell the story of a black woman Celie who experiences changes from obedience to rebel.Walker does not only employ the traditional epistolary form,but also innovates and subverts it.In order to discuss the initiation theme of the novel profoundly,this essay will make an analysis of the female voice in the novel through the extraordinary epistolary narrative form.

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.