AudioLM: a Language Modeling Approach to Audio Generation

We introduce AudioLM, a framework for high-quality audio generation with long-term consistency. AudioLM maps the input audio to a sequence of discrete tokens and casts audio generation as a language modeling task in this representation space. We show how existing audio tokenizers provide different trade-offs between reconstruction quality and long-term structure, and we propose a hybrid tokenization scheme to achieve both objectives. Namely, we leverage the discretized activations of a masked language model pre-trained on audio to capture long-term structure and the discrete codes produced by a neural audio codec to achieve high-quality synthesis. By training on large corpora of raw audio waveforms, AudioLM learns to generate natural and coherent continuations given short prompts. When trained on speech, and without any transcript or annotation, AudioLM generates syntactically and semantically plausible speech continuations while also maintaining speaker identity and prosody for unseen speakers. Furthermore, we demonstrate how our approach extends beyond speech by generating coherent piano music continuations, despite being trained without any symbolic representation of music

A new application of smart walker for quantitative analysis of human walking

International audienceThis paper presents a new nonintrusive device for everyday gait analysis and health monitoring. The system is a standard rollator equipped with encoders and inertial sensors. The assisted walking of 25 healthy elderly and 23 young adults are compared to develop walking quality index. The subjects were asked to walk on a straight trajectory and an L-shaped trajectory respectively. The walking trajectory, which is missing in other gait analysis methods, is calculated based on the encoder data. The obtained trajectory and steps are compared with the results of a motion capture system. The gait analysis results show that new index obtained by using the walker measurements, and not available otherwise, are very discriminating, e.g., the elderly have larger lateral motion and maneuver area, smaller angular velocity during turning, their walking accuracy is lower and turning ability is weaker although they have almost the same walking velocity as the young people

Detection of activities of daily living impairment in Alzheimer's disease and mild cognitive impairment using information and communication technology

International audienceBackground: One of the key clinical features of Alzheimer's disease (AD) is impairment in daily functioning. Patients with mild cognitive impairment (MCI) also commonly have mild problems performing complex tasks. Information and communication technology (ICT), particularly techniques involving imaging and video processing, is of interest in order to improve assessment. The overall aim of this study is to demonstrate that it is possible using a video monitoring system to obtain a quantifiable assessment of instrumental activities of daily living (IADLs) in AD and in MCI. Methods: The aim of the study is to propose a daily activity scenario (DAS) score that detects functional impairment using ICTs in AD and MCI compared with normal control group (NC). Sixty-four participants over 65 years old were included: 16 AD matched with 10 NC for protocol 1 (P1) and 19 MCI matched with 19 NC for protocol 2 (P2). Each participant was asked to undertake a set of daily tasks in the setting of a "smart home" equipped with two video cameras and everyday objects for use in activities of daily living (8 IADLs for P1 and 11 for P2, plus 4 temporal execution constraints). The DAS score was then computed from quantitative and qualitative parameters collected from video recordings. Results: In P1, the DAS score differentiated AD (DASAD,P1 = 0.47, 95% confidence interval [CI] 0.38-0.56) from NC (DASNC,P1 = 0.71, 95% CI 0.68-0.74). In P2, the DAS score differentiated MCI (DASMCI,P2 = 0.11, 95% CI 0.05-0.16) and NC (DASNC,P2 = 0.36, 95% CI 0.26-0.45). Conclusion: In conclusion, this study outlines the interest of a novel tool coming from the ICT world for the assessment of functional impairment in AD and MCI. The derived DAS scores provide a pragmatic, ecological, objective measurement which may improve the prediction of future dementia, be used as an outcome measurement in clinical trials and lead to earlier therapeutic intervention

Ann Intensive Care

Unlike for septic shock, there are no specific international recommendations regarding the management of cardiogenic shock (CS) in critically ill patients. We present herein recommendations for the management of cardiogenic shock in adults, developed with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system by an expert group of the French-Language Society of Intensive Care (Société de Réanimation de Langue Française (SRLF)), with the participation the French Society of Anesthesia and Intensive Care (SFAR), the French Cardiology Society (SFC), the French Emergency Medicine Society (SFMU), and the French Society of Thoracic and Cardiovascular Surgery (SFCTCV). The recommendations cover 15 fields of application such as: epidemiology, myocardial infarction, monitoring, vasoactive drugs, prehospital care, cardiac arrest, mechanical assistance, general treatments, cardiac surgery, poisoning, cardiogenic shock complicating end-stage cardiac failure, post-shock treatment, various etiologies, and medical care pathway. The experts highlight the fact that CS is a rare disease, the management of which requires a multidisciplinary technical platform as well as specialized and experienced medical teams. In particular, each expert center must be able to provide, at the same site, skills in a variety of disciplines, including medical and interventional cardiology, anesthesia, thoracic and vascular surgery, intensive care, cardiac assistance, radiology including for interventional vascular procedures, and a circulatory support mobile unit