Audio signal encryption plays a crucial role in protecting sensitive information in communication systems by converting the audio data into a secure format that can only be accessed by authorized parties. By using encryption algorithms to scramble the audio signal, unauthorized users are unable to intercept or decipher the information being transmitted, ensuring the confidentiality and integrity of the communication.
Symmetric encryption methods use the same key for both encryption and decryption of audio signals, making them faster and more efficient for real-time communication. In contrast, asymmetric encryption methods utilize a pair of public and private keys, offering a higher level of security but requiring more computational resources. The key difference lies in the complexity and speed of encryption and decryption processes between the two methods.
Date: 31 May 2024 Time: 1:00 PM ET (New York Time) Presenter(s): Dr. Elisabetta C. del Re Meeting information: Meeting number: 2632 269 5821 Password: hPFwSbt7H36 (47397287 when dialing from a phone or video system) Join by phone: +1-415-655-0002 US Toll Access code: 263 226 95821 Join us Friday, May 31st, 2024, at 1:00 PM ET for an exciting virtual talk by Dr. Elisabetta C. del Re entitled: “MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in brain morphology” as part of the activities of the Brain Space Initiative, co-sponsored by the Center for Translational Research in Neuroimaging and Data Science (TReNDS) and the Data Science Initiative, IEEE Signal Processing Society. Abstract MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in brain morphology Background/Objective. Enlarged lateral ventricle (LV) volume and decreased volume in the corpus callosum (CC) are hallmarks of schizophrenia (SZ). We previously showed an inverse correlation between LV and CC volumes in SZ, with global functioning decreasing with increased LV volume. This study investigates the relationship between LV volume, CC abnormalities, and the microRNA MIR137 and its regulated genes in SZ, because of MIR137’s essential role in neurodevelopment. Results: Increased LV volumes and decreased CC central, mid-anterior, and mid-posterior volumes were observed in SZ probands. The MIR137-regulated ephrin pathway was significantly associated with CC:LV ratio, explaining a significant proportion (3.42 %) of CC:LV variance, and more than for LV and CC separately. Other pathways explained variance in either CC or LV, but not both. CC:LV ratio was also positively correlated with Global Assessment of Functioning, supporting previous subsample findings. SNP-based heritability estimates were higher for CC central:LV ratio (0.79) compared to CC or LV separately. Discussion: Our results indicate that the CC:LV ratio is highly heritable, influenced in part by variation in the MIR137-regulated ephrin pathway. Findings suggest that. Biography Elisabetta del Re is an Assistant Professor of Psychiatry at Harvard Medical School and Principal Investigator of NIMH funded research. She has multidisciplinary training in basic science, mental health, neuroimaging, including electrophysiology, and genetics. She holds a MA and PhD in Biochemistry and Experimental Pathology from Boston University; A MA in Mental Health from BGSP. Dr. del Re’s interest is in understanding psychosis and other serious mental illnesses, by looking at the genetics informing neural processes. Recommended Articles: Blokland, Gabriëlla Antonina Maria, et al. "MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume." International Journal of Clinical and Health Psychology 24.2 (2024): 100458. (Link to Paper) Heller, Carina, et al. "Smaller subcortical volumes and enlarged lateral ventricles are associated with higher global functioning in young adults with 22q11. 2 deletion syndrome with prodromal symptoms of schizophrenia." Psychiatry Research 301 (2021): 113979. (Link to Paper)
Posted by on 2024-05-29
Date: 30 June-4 July 2025 Location: Nantes, France Conference Paper Submission Deadline: TBD
Posted by on 2024-05-28
Date: 7 June 2024 Chapter: Singapore Chapter Chapter Chair: Mong F. Horng Title: Augmented/Mixed Reality Audio for Hearables: Sensing, Control and Rendering
Posted by on 2024-05-21
Date: 4-5 November 2024 Chapter: Tunisia Chapter Chapter Chair: Maha Charfeddine Title: Generative AI
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Submission Deadline: 15 August 2024 IEEE Signal Processing Society’s Machine Learning for Signal Processing Technical Committee (MLSP TC) is soliciting proposals from researchers interested in organizing the 2026 MLSP Workshop. The MLSP Workshop is a four-day workshop and will include tutorials on the first day. Proposing teams are asked to create a proposal that follows the following outline: Location and Venue: Give an idea on the venue size and facilities. Conference Dates: Ensure they do not conflict with major holidays, or other SPS conferences and workshops. Typically, the workshop is held during the period of mid-September to mid-October. Organizing Committee Members: Build the organizing committee considering factors including (a) active SPS members; (b) diversity in geographical, industry and academia, age, and gender; (c) conference and/or workshop experience; (d) event management experience. For examples, refer to the MLSP Workshops page. Technical Program: Consider the overall structure and conference model; innovative initiatives; student and young professional initiatives; and industry-participation/support initiatives. Budget including registration fees. Hotels in the area that cater to different attendee budget levels. Travel and transportation between the nearest airport and the conference venue. Any other relevant information about the venue or the organization. The intention letter deadline is August 1, 2024, and the deadline for submission of proposals is August 15, 2024. Please submit your proposal to the MLSP TC Chair, Wenwu Wang, and the MLSP Workshop Sub-Committee Chair, Roland Hostettler, via email. We encourage you to contact them with questions or to obtain further details about the content of the proposals. Proposals will be reviewed by the MLSP TC, and the selection results will be announced in October 2024.
Posted by on 2024-05-21
Yes, audio signal encryption can be applied to real-time communication applications such as VoIP calls to secure the transmission of audio data over the internet. By encrypting the audio signals before they are sent and decrypting them upon reception, organizations can ensure that their VoIP calls remain confidential and protected from eavesdropping or tampering.
Key management is essential in ensuring the security of encrypted audio signals by securely generating, storing, and exchanging encryption keys between communicating parties. Proper key management practices, such as key rotation, key distribution, and key revocation, help prevent unauthorized access to the encrypted audio data and maintain the confidentiality of communication channels.
Encryption algorithms like AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman) contribute to the security of audio signal transmission by providing robust encryption techniques that are resistant to cryptographic attacks. AES is commonly used for symmetric encryption of audio signals, while RSA is utilized for asymmetric encryption, offering a strong foundation for securing sensitive information in communication systems.
While audio signal encryption enhances the security of communication systems, users should be aware of potential vulnerabilities or weaknesses that could compromise the confidentiality of their data. These vulnerabilities may include weak encryption algorithms, improper key management practices, or implementation flaws that could be exploited by attackers to gain unauthorized access to encrypted audio signals.
Applications of Digital Audio Signal Processing in Telecommunications
Organizations can ensure compliance with data protection regulations when implementing audio signal encryption technologies by following industry best practices and standards for secure communication. This includes conducting regular security audits, implementing encryption protocols recommended by regulatory bodies, and providing training to employees on the proper use of encryption tools to safeguard sensitive audio data and maintain regulatory compliance.
Digital audio compression plays a crucial role in reducing bandwidth usage by utilizing algorithms to decrease the size of audio files without significantly compromising audio quality. By employing techniques such as lossy compression, perceptual coding, and bit rate reduction, digital audio files can be efficiently compressed to consume less data during transmission or storage. This reduction in file size allows for faster streaming and downloading speeds, as well as lower data consumption for users. Additionally, compressed audio files require less storage space, making them easier to manage and distribute. Overall, digital audio compression is essential for optimizing bandwidth usage and improving the efficiency of audio transmission over networks.