VOICINGDECISIONUSINGCONTINUOUSNONLINEARNETWORK

＠周志杰＠胡光锐＠李群ＩｎｔｒｏｄｕｃｔｉｏｎＳｐｅｅｃｈｐｒｏｄｕｃｔｉｏｎｉｓａｃｃｏｍｐｌｉｓｈｅｄｂｙｖａｒｉｏｕｓａｃｏｕｓｔｉｃａｌｅｘｃｉｔａｔｉｏｎｓｏｆｔｈｅｈｕｍａｎｖｏｃａｌｔｒａｃｔ．Ｖｏｉｃｅｄｓｐｅｅｃｈｉｓｇｅｎｅｒａｔｅｄｂ...

Attention-Enhanced Voice Portrait Model Using GenerativeAdversarial 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.

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.

康开丽:向西方介绍中国当代戏剧

Introduction Claire Conceison is one of the leading figures in the research field of contemporary Chinese theater. She has multiple roles: a scholar, translator, and director. She is a professor of Chinese Culture and Theater Arts at MIT and the author of two books——Significant Other: Staging the American in China(2004), Voices Carry: Behind Bars and Backstage during China’s Revolution and Reform(2009).

Research trends in methods for controlling macro-micro motion platforms

With ongoing economic,scientific,and technological developments,the electronic devices used in daily lives are developing toward precision and miniaturization,and so the demand for high-precision manufacturing machinery is expanding.The most important piece of equipment in modern high-precision manufacturing is the macro-micro motion platform(M3P),which offers high speed,precision,and efficiency and has macro-micro motion coupling characteristics due to its mechanical design and composition of its driving components.Therefore,the design of the control system is crucial for the overall precision of the platform;conventional proportional–integral–derivative control cannot meet the system requirements,and so M3Ps are the subject of a growing range of modern control strategies.This paper begins by describing the development history of M3Ps,followed by their platform structure and motion control system components,and then in-depth assessments of the macro,micro,and macro-micro control systems.In addition to examining the advantages and disadvantages of current macro-micro motion control,recent technological breakthroughs are noted.Finally,based on existing problems,future directions for M3P control systems are given,and the present conclusions offer guidelines for future work on M3Ps.

Age and Gender Classification Using Backpropagation and Bagging Algorithms

Voice classification is important in creating more intelligent systems that help with student exams,identifying criminals,and security systems.The main aim of the research is to develop a system able to predicate and classify gender,age,and accent.So,a newsystem calledClassifyingVoice Gender,Age,and Accent(CVGAA)is proposed.Backpropagation and bagging algorithms are designed to improve voice recognition systems that incorporate sensory voice features such as rhythm-based features used to train the device to distinguish between the two gender categories.It has high precision compared to other algorithms used in this problem,as the adaptive backpropagation algorithm had an accuracy of 98%and the Bagging algorithm had an accuracy of 98.10%in the gender identification data.Bagging has the best accuracy among all algorithms,with 55.39%accuracy in the voice common dataset and age classification and accent accuracy in a speech accent of 78.94%.

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.

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.

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.

Machine Learning-Based Approach for Identification of SIM Box Bypass Fraud in a Telecom Network Based on CDR Analysis: Case of a Fixed and Mobile Operator in Cameroon

In the telecommunications sector, companies suffer serious damages due to fraud, especially in Africa. One of the main types of fraud is SIM box bypass fraud, which includes using SIM cards to divert incoming international calls from mobile operators creating massive losses of revenue. In order to provide a solution to these shortcomings that apply almost to all network operators, we developed intelligent algorithms that exploit huge amounts of data from mobile operators and that detect fraud by analyzing CDRs from voice calls. In this paper we used three classification techniques: Random Forest, Support Vector Machine (SVM) and XGBoost to detect this type of fraud;we compared the performance of these different algorithms to evaluate the model by using data collected from an operator’s network in Cameroon. The algorithm that produced a better performance was the Random Forest with 92% accuracy, so we effectuated the detection of existing fraudulent numbers on the telecommunications operator’s network.

Analysis of Narrative Strategies in Colum McCann’s Short Story“Sisters”

As the opening work of“Fishing the Sloe-Black River Stories,”Irish-American writer Colum McCann’s short story“Sisters”has attracted scholars’interest with its profuse historical background and themes of the times.From the perspective of narratology,this paper considers that the writer uses narrative techniques such as non-linear narration and embedded structure to express multi-level narrative voices through a first-person narrator,Sheona.These narrative techniques help to fully reflect the theme of the work and endow the work with great aesthetic and ideological value.

Voices of standards heard!

During this year’s Two Sessions,which are of great importance in the country’s political calendar,representatives from all walks of life gathered in Beijing in March to discuss important topics of common concerns.Their insights and voices of the vital role of standards in supporting high-quality development are showcased in the SPECIAL REPORT column.

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 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”.

Estill Voice Training在流行音乐演唱中的应用——技巧和效果探究

本研究旨在探究Estill Voice Training在流行音乐演唱中的应用,以揭示其在提升歌手演唱技巧和效果方面的潜力。通过对Estill Voice Training的核心原理和技巧进行阐述,并结合实际案例和研究数据,探讨其在流行音乐领域的实际应用价值。本文旨在为流行音乐演唱者、声乐教育者和音乐产业相关人士提供借鉴,促进流行音乐演唱技术的进步和发展。

基于VoiceXML的语音电子邮件系统的设计

设计的语音电子邮件系统将传统的电子邮件服务扩展到有线或无线、固定或移动电话系统,使用户可以通过普通的电话来方便地接收自己的电子邮件。该文对基于VoiceXML标准的语音电子邮件系统开发进行了探讨,并对语音电子邮件网关的设计进行了深入的研究。

一种自适应语音端点检测算法

针对基于短时能量和短时过零率的语音端点检测算法不能自适应环境,在低信噪比时性能较差问题,提出了一种新算法。该算法利用最小短时能量评估环境噪声,优化参数提取算法,提高了参数本身的抗噪能力和自适应能力,再通过参数融合有效平衡了音节之间的差异,放大了语音与噪声之间的差异,最后通过一个动态检测门限,实现了不同信噪比下的端点检测。

一个语音信息门户的设计与实现

语音门户是利用了CTI技术实现电话网与互联网集成的重要部件,支持了用户通过普通电话访问互联网获取信息,是由IVR(Interactive Voice Response)、TTS(Text To Speech)、ASR(Automatic Speech Recognition)、Voice XML 4个子系统组成,该文在一个实用的语音门户系统的基础上,讨论了系统结构以及4个模块的设计实现,系统设计采用面向对象技术、自动机技术将板卡、通道以其语音合成、识别等资源有机集成在一个系统内,方便了系统设计与功能扩充。

术后发音矫治对嗓音显微手术治疗声带息肉发音功能的影响

嗓音显微手术是在手术显微镜下，应用先进的显微技术，在力求治愈疾病的同时最大限度的保护发音功能的一种喉内手术，切除病变与改善发音功能是嗓音显微手术的两个主要目的川。回顾性分析2006年7月-2006年12月随访3个月以上的80例经嗓音显微手术治疗的声带息肉患者，其中40例辅助术后嗓音矫治，所有患者均进行动态喉镜及嗓音声学分析以评价治疗效果。