Voice

The goal of this observational study is to collect short video and sound recordings of people with cancer to create a secure database that can be used in future research to develop an artificial intelligence (AI) tool for pain assessment. The main aim is to build a large, high-quality collection of audiovisual data showing how people with cancer express themselves when they do and do not have pain. Participants will include adults with cancer who are admitted to the oncology ward for pain treatment and a control group admitted for chemotherapy who have no pain. After giving consent, participants will: * Be recorded on video (from the shoulders up) for up to 60 seconds while reading a short sentence and describing their pain or daily experience. * Complete a short questionnaire about their mood and pain expression. * Allow researchers to collect some information from their medical record, such as their pain score, medications, and cancer type. These recordings will be securely stored and used to create a database for future AI research. No medical tests, new treatments, or extra hospital visits are involved. This study will provide the foundation for developing future AI-based tools that could support doctors and patients in monitoring and managing pain more accurately and easily.

According to the scientific literature, public speaking (PS) is an important skill for students to master. However, a large proportion of students do not feel comfortable speaking in public. PS anxiety impacts oral communication (i.e., voice and fluency). These changes can affect speaker's academic and professional success, as well as his credibility. Performing a high-quality PPP with confidence is therefore rarely an innate skill, but fortunately it can be trained and improved. Therefore, training PS skills in representative settings is crucial but often challenging for PS professionals (e.g., speech therapists, vocologists, coaches). This project examines how oral communication skills training including simulations in virtual reality (VR) supports the acquisition of effective oral PS skills. Using acoustic analyses, outcomes from participants in the intervention group (N = 40) will be compared with those of a wait-list control group (N = 40) to determine whether significant differences emerge in filled pauses, speech rate, and vocal intonation during PS. Changes in PS self-efficacy will also be assessed. Regarding secondary outcomes, the study will evaluate changes in self-reported and physiological PS anxiety, as well as self-reported confidence as a speaker. Finally, self-perceived vocal effort during PS will be examined.

Aims: To evaluate the perception and enjoyment of music in cochlear implant (CI) users using specific questionnaires, and comparing their results with a control group of subjects with normal hearing (NH). To analyze the musical abilities of implantees using the musical tool Meludia, and compare the results with the control group. To perfom a voice analysis in implanted patients, compare it with their NH peers, and check if an association with musical perception is observed. Design: Cross-sectional study, both the CI recipients and NH control subjects were assessed once. Setting and subjects: Pre-or perilingual patients aged 6 to 17 years old, and postlingual adults who underwent cochlear implantation from 2000 to January 2023 at La Paz University Hospital. Control group is set up with their NH peers. Study Variables: Socio-demographic and clinical (current age, age at implantation, sex, educational level) variables will be collected, as well as hearing loss (aetiology, duration of deafness), and surgical (type of implant, complete or partial insertion of the electrodes, date of surgery) data. Data from CI fitting (number of active electrodes, type of audio processor) and hearing outcomes with the CI will also be reviewed. Outcome variables: Specific musical skills questionnaires for adults: Munich Music Questionnaire (MuMu) and Music Related Quality of Life Questionnaire (MuRQoL), which will be validated. Musical questionnaire developed specifically for subjects between 6-17 years old. Musical tool (Meludia) to assess musical perception. Praat software for voice analysis. Analysis of the impact of the different audiological, sociodemographic and clinical variables on hearing outcomes, and on musical perception after cochlear implantation, and comparison with the NH control group.