Academic literature on the topic 'Voice attributes'
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Journal articles on the topic "Voice attributes":
Watkins, Heather, and Richard Pak. "Investigating Underrepresented Perceptions of Inclusively Designed Voiced Automation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 290–94. http://dx.doi.org/10.1177/1071181322661228.
Charoenruk, Nuttirudee, and Kristen Olson. "Do Listeners Perceive Interviewers’ Attributes from their Voices and Do Perceptions Differ by Question Type?" Field Methods 30, no. 4 (July 10, 2018): 312–28. http://dx.doi.org/10.1177/1525822x18784500.
Zhang, Yu, Rongjie Huang, Ruiqi Li, JinZheng He, Yan Xia, Feiyang Chen, Xinyu Duan, Baoxing Huai, and Zhou Zhao. "StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (March 24, 2024): 19597–605. http://dx.doi.org/10.1609/aaai.v38i17.29932.
Clapp, William, Charlotte Vaughn, and Meghan Sumner. "The episodic encoding of talker voice attributes across diverse voices." Journal of Memory and Language 128 (February 2023): 104376. http://dx.doi.org/10.1016/j.jml.2022.104376.
Benaroya, Laurent, Nicolas Obin, and Axel Roebel. "Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations." Entropy 25, no. 2 (February 18, 2023): 375. http://dx.doi.org/10.3390/e25020375.
Sun, Yongqiang, Cailian Zhao, and Xiao-Liang Shen. "Understanding how firm attributes affect voice in brand community." Industrial Management & Data Systems 121, no. 5 (March 17, 2021): 1045–62. http://dx.doi.org/10.1108/imds-07-2020-0418.
Zubey, Michael L., William Wagner, and James R. Otto. "A conjoint analysis of voice over IP attributes." Internet Research 12, no. 1 (March 2002): 7–15. http://dx.doi.org/10.1108/10662240210415781.
Yang, Zhihan, Zhiyong Wu, Ying Shan, and Jia Jia. "What Does Your Face Sound Like? 3D Face Shape towards Voice." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 13905–13. http://dx.doi.org/10.1609/aaai.v37i11.26628.
David, Yigal, and Elad Harison. "Paying Lip Service?" International Journal of Enterprise Information Systems 18, no. 1 (January 1, 2022): 1–20. http://dx.doi.org/10.4018/ijeis.313049.
Kreiman, Jody, Bruce R. Gerratt, Gail B. Kempster, Andrew Erman, and Gerald S. Berke. "Perceptual Evaluation of Voice Quality." Journal of Speech, Language, and Hearing Research 36, no. 1 (February 1993): 21–40. http://dx.doi.org/10.1044/jshr.3601.21.
Dissertations / Theses on the topic "Voice attributes":
Hoesman, Jordyn. "The Use of Vocal Attributes in Detecting Deceit in Criminal Interrogations." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2821.
Atkinson, Debra S. "The effect of choir formation on the acoustical attributes of the singing voice /." Full text available from ProQuest UM Digital Dissertation, 2006. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1260802271&SrchMode=1&sid=2&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1193074021&clientId=22256.
Ben, amor Imen. "Deep modeling based on voice attributes for explainable speaker recognition : application in the forensic domain." Electronic Thesis or Diss., Avignon, 2024. http://www.theses.fr/2024AVIG0101.
Automatic speaker recognition (ASpR) has been integrated into critical applications, ranging from customised assistant services to security systems and forensic investigations. It aims to automatically determine whether two voice samples originate from the same speaker. These systems primarily rely on complex deep neural networks (DNN) and present their results by a single value. Despite the high performance demonstrated by DNN-based ASpR systems, they struggle to provide transparent insights into the nature of speech representations, its encoding, and its use in decision-making process. This lack of transparency presents significant challenges in addressing ethical and legal concerns, particularly in high-stakes applications such as forensics. This thesis introduces a three-step methodology based on deep learning, designed to provide interpretable and explainable ASpR results. In the first step, we represent a speech extract by the presence or absence of a set of speech attributes, shared among groups of speakers and selected to be speaker discriminant. This information is encoded by a binary vector where a coefficient equal to 1 represent the presence of the corresponding attribute in the speech extract and 0 its absence. This binary and attribute-based modelling facilitates interpretability and allows for a better handle of the speech information. The results show that the obtained representations are more interpretable but they sacrifice a slight loss in ASpR performance. In the second step, the goal is to ensure transparent computation of the likelihood ratio (LR), thereby facilitating a more informed assessment of the value of speech evidence in a courtroom setting. We therefore propose the Binary-Attribute-based LR (BA-LR) framework, that breaks down the scoring process into independent sub-processes, each dedicated to an attribute. An attribute-LR is a LR estimated using only the presence or absence of the attribute and its description, defined by three explicit behavioral parameters. The final LR is calculated as the product of the attribute-LRs, assuming independence between them. This framework enables transparent LR computation and a clearer understanding of the value of evidence. It also provides detailed explanations of the contribution of each attribute's information to the final LR value, aiding juries and judges in decision-making. In the third step, we conduct a discovery of the nature of attributes. This investigation employs statistical techniques, surrogate models as well as backpropagation and alignment strategies to provide a description of attributes in terms of acoustic, phonetic and phonemic information. The obtained explanations serve as a valuable tool for phoneticians to interpret the contributing attributes to a given LR. Additionally, our three-step approach is validated through the application of BA-LR on a forensically realistic dataset. In such context, we apply a Logistic Regression model to handle the mismatch between the training conditions and a real-world scenarios. Results demonstrate the robustness and the generalisation ability of BA-LR in a forensic context. Overall, this thesis opens a new perspective on explainable ASpR, by proposing a promising solution for a transparent decision making, with a level of performance comparable to SOTA systems. It provides forensic practitioners as well as the court with explanations to comprehend the evidential value and serves as a discovery tool for phoneticians, aiding them in better understanding and interpreting speech information. Additional investigations are essential for practical implementation in real-world scenarios
Zulu, Docas Dudu. "Packet aggregation for voice over internet protocol on wireless mesh networks." Thesis, University of the Western Cape, 2012. http://hdl.handle.net/11394/4403.
This thesis validates that packet aggregation is a viable technique to increase call capacity for Voice over Internet Protocol over wireless mesh networks. Wireless mesh networks are attractive ways to provide voice services to rural communities. Due to the ad-hoc routing nature of mesh networks, packet loss and delay can reduce voice quality. Even on non-mesh networks, voice quality is reduced by high overhead, associated with the transmission of multiple small packets. Packet aggregation techniques are proven to increase VoIP performance and thus can be deployed in wireless mesh networks. Kernel level packet aggregation was initially implemented and tested on a small mesh network of PCs running Linux, and standard baseline vs. aggregation tests were conducted with a realistic voice traffic profile in hop-to-hop mode. Modifications of the kernel were then transferred to either end of a nine node 'mesh potato' network and those tests were conducted with only the end nodes modified to perform aggregation duties. Packet aggregation increased call capacity expectedly, while quality of service was maintained in both instances, and hop-to-hop aggregation outperformed the end-to-end configuration 4:1. However, implementing hop-to-hop in a scalable fashion is prohibitive, due to the extensive kernel level debugging that must be done to achieve the call capacity increase. Therefore, end-to-end call capacity increase is an acceptable compromise for eventual scalable deployment of voice over wireless mesh networks.
Lamb, William Robert Stuart. "Voices irom the Margins : An exploration of the Christian exegesis of late antiquity with reference to the Catena in Marcum attributed to Victor of Antioch." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521857.
Pan, Kuan-Ru, and 潘冠汝. "A Study on Social Attributes of Face and Voice Cues of Service Robots in Different Applications." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/3df2az.
大同大學
工業設計學系(所)
107
Service robot as a new generation of trends, but it is undeniable that its application results are not up to expectations, one of the biggest problems is that service stiff and is difficult for the users to understand. In order to achieve a more natural and fluent human-robot service, we according to the research of HRI to choose the auditory and visual information as factors for discusses the main trend of users need in different application fields. In addition, other social factors that have influence on interaction evaluation, such as robot appearance, speech speed and interaction distance, are taken as control variables to ensure the correctness of the research results. According to the research results, different pitch levels can affect users' evaluation of warmth and competence. Besides, when the robot state was presented with different color lights that will influence the preference and feeling, especially neutral colors showed the best overall performance. In terms of application, there was no significant difference in user ratings between business, education and home companionship. Simultaneously, there’s interaction between variables, the preference of lights was influenced in applications which has higher professional demand. At the same time, the female users have more obvious preferences of interactive elements. By and large, different applications and user genders will influence the result of human-robot interaction elements. Although there have the difficult points of current technology, but we hope to achieve better human-robot interaction quality in the future through the discussion of users' interactive needs of robot.
Lin, Chang-U., and 林中玉. "A Study of Consumer''s Adoption and Evaluation of Attributes on the Mobile Voice over Internet Protocol System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/87582468330142653730.
國立交通大學
經營管理研究所
91
In line with the tendency to integrate Computing, Communication and Consumer Electronics, the Mobile Voice over IP(VOIP) products with cheaper values and offering many kinds of functions, are getting more popular. Because of VOIP’s cheaper values, convenient communication and offering many kinds of functions, it has become the product with the most potential among communication industry. However there is little research concerning Consumer adoption towards VOIP at present; therefore the purpose of this research is to understand which product attributes VOIP consumers pay most attention to, and from the point of view of market segments to discuss the differences in product preference. This is necessary to help companies form their marketing strategy. In this research, the Roger’s adoption model is used as a conceptual framework, and the AIO lifestyle variable is used as a basis of market segmentation. VOIP product attributes and demographic factors are used as independent variables. Consumption reality variables describe the behavior of consumers. This research discusses only the machine of VOIP. The sample is drawn from the residents of Taipei district who use the network of broadband transmission. The sampling frame is the visitors to the multimedia Exhibition in Taipei World Trade Center during February, 2002. The results show: VOIP consumers can be successfully segmented by lifestyle variable, such as “Fashion Independent Buyer”, “Impetuous Independent Buyer”, and “Convenience social Buyer”. Among the three market segments, Much more significance are demographic variables, purchase motive variable, information search, product attributes evaluation criteria, and consumption lifestyle variables.
Books on the topic "Voice attributes":
Eble, Diane. Knowing the voice of God: Discover God's unique language for you. Grand Rapids, Mich: Zondervan, 1996.
1912-, Templeton John, ed. How large is God?: Voices of scientists and theologians. Philadelphia: Templeton Foundation Press, 1997.
Richardson, John. Between Speech, Music, and Sound. Edited by Yael Kaduri. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199841547.013.47.
Hoover, Jon. Ḥanbalī Theology. Edited by Sabine Schmidtke. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199696703.013.014.
Kennerley, David. Sounding Feminine. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190097561.001.0001.
Harley, Heidi. The “bundling” hypothesis and the disparate functions of little v. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198767886.003.0001.
Fairhurst, Michael. Biometrics: A Very Short Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780198809104.001.0001.
Wood, Jim, and Alec Marantz. The interpretation of external arguments. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198767886.003.0011.
Templeton, John Marks. How Large Is God: The Voices of Scientists and Theologians. Templeton Foundation Press, 1996.
Noam, Vered. John Hyrcanus and a Heavenly Voice. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811381.003.0003.
Book chapters on the topic "Voice attributes":
Bernardo, Lucas Salvador, and Robertas Damaševičius. "VGG11 Parkinson’s Disease Detection Based on Voice Attributes." In Communications in Computer and Information Science, 58–70. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20319-0_5.
Lemaitre, Nathalie. "The Evaluative Attributes of Front Line Employees in Banking: The Customer Voice." In The Customer is NOT Always Right? Marketing Orientationsin a Dynamic Business World, 492–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50008-9_134.
Ashley, Christy, Jason D. Oliver, and Deborah E. Rosen. "Using the Voice-of-the-Customer to Determine the Connection between Service and Relationship Attributes, Satisfaction, and Retention." In Marketing, Technology and Customer Commitment in the New Economy, 46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11779-9_26.
Jones, Anna, and Judy Pate. "Students’ Perceptions of Graduate Attributes: A Signalling Theory Analysis." In Engaging Student Voices in Higher Education, 225–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20824-0_14.
Higuchi, Masakazu, Shuji Shinohara, Mitsuteru Nakamura, Yasuhiro Omiya, Naoki Hagiwara, Takeshi Takano, Shunji Mitsuyoshi, and Shinichi Tokuno. "Study on Indicators for Depression in the Elderly Using Voice and Attribute Information." In Communications in Computer and Information Science, 127–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93644-4_7.
Loukota Sanclemente, Diego. "The Vicissitudes of Supply Chain Translation: The Chinese Version of Kumāralāta’s Garland of Examples Attributed to Kumārajīva." In Diverse Voices in Chinese Translation and Interpreting, 45–61. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4283-5_3.
Bodkin-Andrews, Gawaian, Susan Page, and Michelle Trudgett. "Shaming the silences: Indigenous Graduate Attributes and the privileging of Aboriginal and Torres Strait Islander voices." In Critical Studies and the International Field of Indigenous Education Research, 96–113. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032695440-7.
Kawahara, Hideki. "Temporally Variable Multi attribute Morphing of Arbitrarily Many Voices for Exploratory Research of Speech Prosody." In Speech Prosody in Speech Synthesis: Modeling and generation of prosody for high quality and flexible speech synthesis, 109–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45258-5_8.
Lindstrom, Gabrielle E. "Accountability, Relationality and Indigenous Epistemology: Advancing an Indigenous Perspective on Academic Integrity." In Academic Integrity in Canada, 125–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83255-1_6.
Lähteenmäki, Maria, Oona Ilmolahti, Outi Manninen, and Sari Stark. "Chapter 6. Cultural Nature in Mid-Lappish Reindeer Herding Communities." In Green Development or Greenwashing?, 99–133. Winwick, Cambs.: The White Horse Press, 2023. http://dx.doi.org/10.3197/63824846758018.ch06.
Conference papers on the topic "Voice attributes":
Weiss, Benjamin, and Felix Burkhardt. "Voice attributes affecting likability perception." In Interspeech 2010. ISCA: ISCA, 2010. http://dx.doi.org/10.21437/interspeech.2010-570.
El-Sayed, Mohamed E. M., Ted Stawiarski, and Jacqueline A. J. El-Sayed. "Multi-Attribute Balancing Process for Automotive Components." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65009.
Koseki, Kotaro, Yuichi Sei, Yasuyuki Tahara, and Akihiko Ohsuga. "Generation of Facial Images Reflecting Speaker Attributes and Emotions Based on Voice Input." In 15th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0011630200003393.
Alhammad, Aljawharah, Aljoharah Alsurayyi, Reema Alshehri, Saba Alhoshan, and Maali Alabdulhafith. "Virtual Me Blockchain-Based System for Virtual Rights Ownership." In 5th International Conference on Networks, Blockchain and Internet of Things. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140503.
Lin, Sung-Chien, Lee-Feng Chien, Keh-Jiann Chen, and Lin-Shan Lee. "A syllable-based very-large-vocabulary voice retrieval system for Chinese databases with textual attributes." In 4th European Conference on Speech Communication and Technology (Eurospeech 1995). ISCA: ISCA, 1995. http://dx.doi.org/10.21437/eurospeech.1995-50.
Hsu, Long-Jing, Weslie Khoo, Natasha Randall, Waki Kamino, Swapna Joshi, Hiroki Sato, David J. Crandall, Katherine M. Tsui, and Selma Šabanović. "Finding its Voice: The Influence of Robot Voice on Fit, Social Attributes, and Willingness to Use Among Older Adults in the U.S. and Japan." In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 2023. http://dx.doi.org/10.1109/ro-man57019.2023.10309390.
Nyyssönen, Taneli, Olli Heimo, Seppo Helle, Teijo Lehtonen, Tuomas Mäkilä, and Jussi Jauhiainen. "Anonymous Collaboration in Metaverse." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003937.
Masui, Keijiro, Tomohiko Sakao, Seiichi Aizawa, and Atsushi Inaba. "Quality Function Deployment for Environment (QFDE) to Support Design for Environment (DFE)." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dfm-34199.
Sun, Yongqiang, Cailian Zhao, Xiao-Liang Shen, and Nan Wang. "Perceived Firm Attributes, Social Identification, and Intrinsic Motivation to Voice in Brand Virtual Communities: Differentiating Brand-General and Innovation-Specific Perceptions." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2020. http://dx.doi.org/10.24251/hicss.2020.506.
Lin, Tsong-Wuu. "Fixed attribute-length linear quadtree representations for storing similar images." In Voice, Video, and Data Communications, edited by C. C. Jay Kuo, Shih-Fu Chang, and Venkat N. Gudivada. SPIE, 1997. http://dx.doi.org/10.1117/12.290348.
Reports on the topic "Voice attributes":
Harriss, Lydia, and Khalil Davis. Biometric Technologies. Parliamentary Office of Science and Technology, June 2018. http://dx.doi.org/10.58248/pn578.
Fee, Kyle D. Does Job Quality Affect Occupational Mobility? Federal Reserve Bank of Cleveland, August 2022. http://dx.doi.org/10.26509/frbc-cd-20220804.
Galeano, Sergio, John Rees, and Elizabeth Bogue Simpson. Worker Voices Special Brief: Barriers to Employment. Federal Reserve Bank of Cleveland, November 2023. http://dx.doi.org/10.59695/20231115.
Uche, Chidi, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Retrospective Study of Inspectors Competency in the Act of Writing GMP Inspection Report. Purdue University, December 2021. http://dx.doi.org/10.5703/1288284317445.