Akhil kumar’s Post

Researchers at Indian Institute of Technology (IIT) Guwahati have achieved a significant breakthrough in the field of speech technology with the development and patenting of 'LOQU', a novel method to generate human speech signals directly from vocal cord vibration signals. "Speech production begins with airflow from the lungs through the windpipe, facilitated by the larynx or voice box, which acts as a conduit between the throat and windpipe. Inside the larynx are the vocal cords or vocal folds, regulated by the glottis, controlling airflow between the lungs and mouth. The voice box adjusts the space between vocal folds to create sounds, which travel through the vocal tract, modulating in volume and pitch to form 'voice'," IIT Guwahati said in a statement. "During speech, vocal folds vibrate due to intrinsic laryngeal muscle movement. In some cases, like mutism from apraxia, individuals may have normal vocal fold vibration without sound production due to coordination issues in tongue or throat muscles essential for speech," it said. Under the guidance of Prof. Samarendra Dandapat, Department of Electronics and Electrical Engineering, and led by Dr. L.N. Sharma of IIT Guwahati, the team, including Pharvesh Salman Choudhary, Sibasis Sahu, Debasis Jyotishi, Moirangthem James Singh, Samarjeet Das, and Yengkhom Omesh Singh, has created 'LOQU'. Derived from the Latin word for 'To speak or talk', this technology captures vocal fold movement without invasive procedures, utilizing sensors placed over the throat. This innovative approach allows for the reconstruction of speech signals from vocal cord vibrations, offering promising applications for speech-impaired individuals and medical settings. "The reconstructed speech signals have been found to be clear and comparable to traditional speech in extensive comparison tests. These results hold significant potential for individuals struggling with speech impairments, offering a viable alternative to traditional microphones, and enhancing speech clarity," the institute added. #IITGuwahati #SpeechReconstructionTechnolo

IIT-Guwahati Pioneers Speech Reconstruction Technology Researchers at Indian Institute of Technology Guwahati have achieved a significant breakthrough in the field of #speechtechnology with the development and patenting of "LOQU", a novel method to generate #humanspeech signals directly from vocal cord vibration signals. Speech production begins with airflow from the lungs through the windpipe, facilitated by the larynx or voice box, which acts as a conduit between the throat and windpipe. Inside the larynx are the vocal cords or vocal folds, regulated by the glottis, controlling airflow between the lungs and mouth. The voice box adjusts the space between vocal folds to create sounds, which travel through the vocal tract, modulating in volume and pitch to form "voice." During speech, vocal folds vibrate due to intrinsic laryngeal muscle movement. In some cases, like mutism from apraxia, individuals may have normal vocal fold vibration without sound production due to coordination issues in tongue or throat muscles essential for #speech. Derived from the Latin word for "To speak or talk," this #technology captures vocal fold movement without invasive procedures, utilizing sensors placed over the throat. This #innovative approach allows for the reconstruction of speech signals from vocal cord vibrations, offering promising applications for speech-impaired individuals and medical settings. #research #iit #India #guwahati

Masai #dailylearning Indian Institute of Technology, Guwahati #IITGXMASAI #learningofmaths #THEMATHSOFLIFE In Masai and Indian Institute of Technology, Guwahati let's create the line by using the dots #THE DOTS #DISCREATE MATHEMATICS- WE USED IN VACCUCM TUBE COMPUTERS, MEANS STARTS THINKING OF ANY IDEAS #LOGIC-TO KNOW THE PROCESSING OF EVERYTHING #SET THEORY- LIKE OUR SOCIETY OR MAKE GROUPS #ALGEBRA- LIKE OUR LANGUAGE OF COMUNICATION TO EXPRESS #GRAPH THEORY- LANGUAGE OF VISUALIZA TION THAT WHAT IS GOING ON #PROBABILITY- GET THE IDEA OF FUTURE #STATISTICS- PROOFS OF THE PROBABILITY OF FUTURE BY DATA(REAL ONE) #ESTIMATION- GOING TO THE MORE PRECISE DATA OR DECISION #NETWORK FLOWS- IMPLEMENTATION OF IDEAS WITH MORE PRECISE #OPTIMISATION TECHNIQUE- WE ALL WANT EVERYWHERE #THELINE #LAST ONE:- THE #LINE WE WANT TO UNDERSTAND #APPLICATION OF MATHEMATICAL CONCEPT IN COMPUTER SCIENCE! Little bit deeper but logically think about this and you realize that how mathematics is language of understanding of all(computer science too) not only the numbers. keep learning! THANK YOU Masai AND Indian Institute of Technology, Guwahati FOR DESIGNING THIS COURSE! Suraj Singh Dhiraj Kadam

NIT Raipur's Dr. N. D. Londhe, Professor, Dept. of Electrical Engineering recently shared his well-researched views on "Imperatives of Responsible AI" in the 'Campus Calling' column of the prestigious English Daily of Chattisgarh, Central Chronicle. The article delved deeply on some of the most crucial ways of addressing the ethical concerns of the ever-expanding digital landscape, and how AI should be responsibly tapped for the total well-being of the rapidly evolving society. #nitraipur #nitrr #ai #responsibleai

🤩 In the twilight of my Ph.D. journey at the Indian Institute of Technology, Guwahati, I have finally broken into the world of IEEE Transactions after three previously unsuccessful attempts! 📢 Delighted to announce the acceptance of our paper titled 𝗟𝗼𝗖𝗔𝗧𝗲-𝗚𝗔𝗧: 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗦𝗰𝗮𝗹𝗲 𝗟𝗼𝗰𝗮𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗮𝗻𝗱 𝗔𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽𝘀 𝗳𝗼𝗿 𝗭𝗲𝗿𝗼-𝗦𝗵𝗼𝘁 𝗔𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 in IEEE Transactions on Emerging Topics in Computational Intelligence (IF: 5.3). Huge thanks to my co-author Divyam Singal who worked with us on this paper in challenging times, when transformer-based frameworks of AI giants like Microsoft were on the rise back in 2022. These frameworks, trained on multi-GPU systems, thoroughly outperformed previous action recognition frameworks by large margins and hence, forced us to shelve our 4-month-long previous idea of beating the SoTA with standalone graph-based networks 🥺 💡𝗜𝗱𝗲𝗮: Objects and action environments play a dual role - fuelling both distinguishability and functional similarity between actions 📰 𝗪𝗵𝗮𝘁'𝘀 𝗻𝗲𝘄?  • Local context aggregation from multiple scales by replacing the traditional MLP in vanilla transformers with a novel architecture • Graph attention leveraged to model action relationships in the semantic space, achieving synergy with visual embeddings of action videos learned by the transformer 🏆 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗮𝗰𝗵𝗶𝗲𝘃𝗲: • Mitigated 𝘷𝘦𝘳𝘣 𝘱𝘰𝘭𝘺𝘴𝘦𝘮𝘺 • Effective extraction of contextual cues from small objects of interest • Upto 𝟰.𝟴% improvement in conventional zero-shot setting • Upto 𝟭𝟲.𝟲% improvement in generalized zero-shot setting • Upto 𝟯𝟭.𝟴% improvement in large-scale datasets   • Almost 𝟮𝟱𝘅 𝗳𝗲𝘄𝗲𝗿 model parameters than existing transformer-based architectures 🚀 Discover the work in detail: 👨🔬 Authors: Sandipan Sarma, Divyam Singal, Arijit Sur 📝 Paper: https://lnkd.in/gNsMJckB (Preprint of a slightly different version: https://lnkd.in/gE45MUzs) 🧑💻 Code: https://lnkd.in/gn8pfMqj 🏢 Work done at: Multimedia Lab IIT Guwahati #actionrecognition #zeroshotlearning #localcontext

A breakthrough by researchers at the Indian Institute of Technology (IIT) Guwahati (The Deccan Chronicle, Chennai, 28-Jan-2025) # Key Features of the Nanomaterial: - Perovskite Nanocrystals: The nanomaterial is based on stable metal halide perovskite nanocrystals. - Mercury Detection: It can specifically detect mercury in living cells without causing any harm. - Narrow Emission Linewidth: This characteristic improves the sensitivity and signal-to-noise ratio for detecting metals. - Multi-photon Absorption: Enables deeper cell imaging with sharper and more detailed images. # Benefits of the Innovation: - Revolutionise Disease Diagnostics: The nanomaterial can improve the detection and management of metal toxicity in biological systems. - Environmental Monitoring: It can be used to monitor environmental contamination with toxic metals. - Cost-effective: The method is expected to be cost-effective compared to traditional imaging techniques. # Significance: This development has the potential to significantly impact disease diagnosis and environmental monitoring by improving the detection and management of metal toxicity in biological systems.

Thrilled 🎉 to share that my first research as a PhD candidate at the Indian Institute of Technology Jodhpur has been accepted for presentation at The 22nd International Symposium on Network Computing and Applications #NCA2024! Title of the Paper: NeuroSense: Smartwatch-based Early Detection Framework for Alzheimer's Disease In this study, we introduce NeuroSense, a groundbreaking framework that harnesses the power of smartwatch technology for the early prediction of Alzheimer’s Disease. By leveraging wearable sensors, NeuroSense continuously tracks key health metrics and cognitive patterns, providing real-time alerts for potential signs of cognitive decline. Early detection is a game-changer in the battle against Alzheimer's Disease, as it enables timely interventions and personalized care strategies that can slow the disease’s progression. NeuroSense aims to capture the subtle physiological changes that often precede cognitive decline, offering a non-invasive, user-friendly solution for monitoring brain health. This approach holds the potential to transform patient care by providing a proactive tool that empowers both individuals and healthcare providers, making early detection of Alzheimer's more accessible and effective. I am deeply grateful to my mentor, Dr. Debasis Das, Associate Professor at Department of Computer Science and Engineering, IIT Jodhpur for his invaluable guidance, and to my amazing team at VANET LAB, IIT Jodhpur for their support. A special shoutout to Arnav Jain, a dedicated summer intern, whose contributions added significant depth to this research. #AlzheimersDetection #NeuroSense #SmartwatchTech #HealthcareInnovation #IITJodhpur #NCA2024 #DigitalHealth

Hello connections!! 🎉Thrilled to share that I have successfully completed a course on Image Processing Onramp using MATLAB under the expert guidance of Uday Kiran Roopavath sir. This journey has enhanced my skills in image analysis, manipulation, and processing techniques, bringing me one step closer to my goals in the field of medical devices. Excited to apply these skills in real-world applications.🎉 #MATLAB#MEDICAL DEVICES #NIPER GUWAHATI #LEARNING

Post-Doctoral Research Opportunities at the Embedded Interaction Lab, IIT Guwahati! I invite brilliant students who have completed their PhD recently, to join the Embedded Interaction Lab for cutting-edge post-doctoral research in the following areas: 🔹 Virtual Reality in User Interfaces: Explore the integration of 2D and 3D elements to create immersive and intuitive user experiences. 🔹 Accessibility: Innovate solutions that make technology accessible to all, ensuring inclusivity in digital interfaces. 🔹 Healthcare: Contribute to transforming the healthcare landscape with VR, enhancing patient care and medical training. This position is located at IIT Guwahati. where you'll collaborate with leading experts and have access to state-of-the-art facilities. This is a unique opportunity to advance your research and make a significant impact in these dynamic fields. #ResearchOpportunities #VirtualReality #UserInterfaces #Accessibility #Healthcare #IITGuwahati #PostDoc #Innovation (Image generated using AI, and only for representational purpose)