Voice Feature Extraction for Gender and Emotion Recognition

Voice recognition plays a key role in spoken communication that helps to identify the emotions of a person that reflects in the voice. Gender classification through speech is a widely used Human Computer Interaction (HCI) as it is not easy to identify gender by computer. This led to the development of a model for “Voice feature extraction for Emotion and Gender Recognition”. The speech signal consists of semantic information, speaker information (gender, age, emotional state), accompanied by noise. Females and males have different voice characteristics due to their acoustical and perceptual differences along with a variety of emotions which convey their own unique perceptions. In order to explore this area, feature extraction requires pre- processing of data, which is necessary for increasing the accuracy. The proposed model follows steps such as data extraction, pre- processing using Voice Activity Detector (VAD), feature extraction using Mel-Frequency Cepstral Coefficient (MFCC), feature reduction by Principal Component Analysis (PCA) and Support Vector Machine (SVM) classifier. The proposed combination of techniques produced better results which can be useful in the healthcare sector, virtual assistants, security purposes and other fields related to the Human Machine Interaction domain.&nbsp

Fast Event-Related Mapping of Population Fingertip Tuning Properties in Human Sensorimotor Cortex at 7T

fMRI studies that investigate somatotopic tactile representations in the human cortex typically use either block or phase-encoded stimulation designs. Event-related (ER) designs allow for more flexible and unpredictable stimulation sequences than the other methods, but they are less efficient. Here we compared an efficiency-optimized fast ER design (2.8s average intertrial interval, ITI) to a conventional slow ER design (8s average ITI) for mapping voxelwise fingertip tactile tuning properties in the sensorimotor cortex of 6 participants at 7 Tesla. The fast ER design yielded more reliable responses compared to the slow ER design, but with otherwise similar tuning properties. Concatenating the fast and slow ER data, we demonstrate in each individual brain the existence of two separate somatotopically-organized tactile representations of the fingertips, one in the primary somatosensory cortex (S1) on the post-central gyrus, and the other shared across the motor and pre-motor cortices on the pre-central gyrus. In both S1 and motor representations, fingertip selectivity decreased progressively, from narrowly-tuned Brodmann areas 3b and 4a respectively, towards associative parietal and frontal regions that responded equally to all fingertips, suggesting increasing information integration along these two pathways. In addition, fingertip selectivity in S1 decreased from the cortical representation of the thumb to that of the pinky

Island Commons Sustainability Center

When planning for a trail system on site, the group was asked to design an aesthetically pleasing, universally accessible trails system on the pre-existing property for the center which would act as “sanctity” and peaceful spaces with minimal manipulation of the grounds. The team was asked to incorporate native plants, which would create new sustainable ecosystems, and to develop information stations that would inform visitors about the ecosystem and environment at St. Mary’s. The team was also tasked with finding ways in which local artists could contribute sustainable related artwork to the site

Voice Feature Extraction for Gender and Emotion Recognition

Voice recognition plays a key function in spoken communication that facilitates identifying the emotions of a person that reflects within the voice. Gender classification through speech is a popular Human Computer Interaction (HCI) method on account that determining gender through computer is hard. This led to the development of a model for "Voice feature extraction for Emotion and Gender Recognition". The speech signal consists of semantic information, speaker information (gender, age, emotional state), accompanied by noise. Females and males have specific vocal traits because of their acoustical and perceptual variations along with a variety of emotions which bring their own specific perceptions. In order to explore this area, feature extraction requires pre-processing of data, which is necessary for increasing the accuracy. The proposed model follows steps such as data extraction, pre-processing using Voice Activity Detector(VAD), feature extraction using Mel-Frequency Cepstral Coefficient(MFCC), feature reduction by Principal Component Analysis(PCA) and Support Vector Machine (SVM) classifier. The proposed combination of techniques produced better results which can be useful in healthcare sector, virtual assistants, security purposes and other fields related to Human Machine Interaction domain

Artificial intelligence in thoracic surgery: past, present, perspective and limits

International audienceArtificial intelligence (AI) technology is becoming prevalent in many areas of everyday life. The healthcare industry is concerned by it even though its widespread use is still limited. Thoracic surgeons should be aware of the new opportunities that could affect their daily practice, by direct use of AI technology or indirect use via related medical fields (radiology, pathology and respiratory medicine). The objective of this article is to review applications of AI related to thoracic surgery and discuss the limits of its application in the European Union. Key aspects of AI will be developed through clinical pathways, beginning with diagnostics for lung cancer, a prognostic-aided programme for decision making, then robotic surgery, and finishing with the limitations of AI, the legal and ethical issues relevant to medicine. It is important for physicians and surgeons to have a basic knowledge of AI to understand how it impacts healthcare, and to consider ways in which they may interact with this technology. Indeed, synergy across related medical specialties and synergistic relationships between machines and surgeons will likely accelerate the capabilities of AI in augmenting surgical care

Pathologic response to neoadjuvant chemotherapy in HPV-associated oropharynx cancer

© 2019 Wiley Periodicals, Inc. Background: A paradigm shift has led to de-escalation trials for the treatment of HPV-positive oropharynx cancer (OPC). The objective of this study was to assess the ability of tumor volume reduction on imaging to predict pathological response to neoadjuvant chemotherapy in patients with HPV-positive OPC. Methods: A prospective observational study of 54 patients with HPV-positive OPC enrolled in a clinical trial of neoadjuvant chemotherapy followed by surgery was performed. Patients underwent three cycles of induction chemotherapy (cisplatin/docetaxel); prechemotherapy and postchemotherapy imaging were obtained. Receiver operating characteristic curves and logistic regression analyses were used. Results: The complete pathologic response (pCR) rate at primary and nodal sites were 72% and 57%, respectively. Tumor volume reduction of ≥90% following induction chemotherapy predicted pCR of the primary tumor. Conclusions: Neoadjuvant chemotherapy followed by definitive transoral surgery is a new paradigm worthy of further investigation and MRI is a reliable modality to assess preoperative response

Pathologic response to neoadjuvant chemotherapy in HPV-associated oropharynx cancer.

© 2019 Wiley Periodicals, Inc. Background: A paradigm shift has led to de-escalation trials for the treatment of HPV-positive oropharynx cancer (OPC). The objective of this study was to assess the ability of tumor volume reduction on imaging to predict pathological response to neoadjuvant chemotherapy in patients with HPV-positive OPC. Methods: A prospective observational study of 54 patients with HPV-positive OPC enrolled in a clinical trial of neoadjuvant chemotherapy followed by surgery was performed. Patients underwent three cycles of induction chemotherapy (cisplatin/docetaxel); prechemotherapy and postchemotherapy imaging were obtained. Receiver operating characteristic curves and logistic regression analyses were used. Results: The complete pathologic response (pCR) rate at primary and nodal sites were 72% and 57%, respectively. Tumor volume reduction of ≥90% following induction chemotherapy predicted pCR of the primary tumor. Conclusions: Neoadjuvant chemotherapy followed by definitive transoral surgery is a new paradigm worthy of further investigation and MRI is a reliable modality to assess preoperative response

Concha Bullosa Mucocele: A Case Series and Review of the Literature

Background Concha bullosa mucocele is a rare diagnosis that presents as a nasal mass. It impinges on surrounding structures and can easily be mistaken for a neoplasm. Objective The objective of this study was to shed light on this rare entity and report its diagnostic features and treatment outcomes. Methods A case series conducted in a tertiary health care center. Demographic data, clinical presentation, imaging, cultures, and treatments were recorded. Operative video illustration and key images were obtained. A review of the literature was also performed. Results A total of five cases were reviewed, four of which were concha bullosa mucoceles and one was a mucopyocele. Three of the patients had some form of previous nasal trauma. Headache and nasal obstruction were the most common symptoms with a nasal mass finding on physical examination. Computed tomography was used in all the patients, and magnetic resonance imaging was used in four of the five patients. Four patients had coexistent chronic rhinosinusitis, and three had positive bacterial cultures. All these patients were treated endoscopically either with middle turbinate marsupialization or subtotal resection. No recurrence has been noted thus far. Conclusion Concha bullosa mucocele is a rare diagnosis. Imaging characteristics are helpful in considering the diagnosis, although surgical intervention is often necessary to confirm the diagnosis and treat concha bullosa mucocele

Reduced Venetoclax Exposition to Seven Days of Azacitidine Is Efficient in Treatment-Naïve Patients with Acute Myeloid Leukemia

International audienc