A5038541553- Speech Recognition and Synthesis
- Music and Audio Processing
- Speech and Audio Processing
- Transplantation: Methods and Outcomes
- Renal Transplantation Outcomes and Treatments
- Speech and dialogue systems
- Natural Language Processing Techniques
- Physical Activity and Health
- Air Quality and Health Impacts
- Context-Aware Activity Recognition Systems
- Vehicle emissions and performance
- Organ Transplantation Techniques and Outcomes
- Air Quality Monitoring and Forecasting
- Emotion and Mood Recognition
- Polyomavirus and related diseases
Information Technologies Institute
2022-2023
Centre for Research and Technology Hellas
2021-2023
Columbia University Irving Medical Center
2022
Johns Hopkins University
2022
Johns Hopkins Hospital
2022
In this paper the current status and open challenges of synthetic speech detection are addressed. The work comprises an initial analysis available datasets existing methods, a description requirements for new research compliant with regulations better representing real-case scenarios, discussion desired characteristics future trustworthy methods in terms both functional non-functional requirements. Compared to other works, based on specific solutions or presenting single dataset speeches,...
Background The clinical characteristics of mTOR (mammalian target rapamycin) inhibitors use in heart transplant recipients and their outcomes have not been well described. Methods Results We compared patients who received within the first 2 years after transplantation to did by inquiring United Network for Organ Sharing (UNOS) database between 2010 2018. primary end point was all-cause mortality with retransplantation as a competing event. Rejection, malignancy, hospitalization infection,...
Air pollution is a widespread problem due to its impact on both humans and the environment. Providing decision makers with artificial intelligence based solutions requires monitor ambient air quality accurately in timely manner, as AI models highly depend underlying data used justify predictions. Unfortunately, urban contexts, hyper-locality of quality, varying from street street, makes it difficult using high-end sensors, cost amount sensors needed for such local measurements too high. In...
The powerful capabilities of modern text-to-speech methods to produce synthetic computer generated voice, can pose a problem in terms discerning real from fake audio. In the present work, different pipelines were tested and best inference time audio quality was selected expand on TIMIT dataset. This led creation new detection dataset based corpus. A range representations (magnitude spectrogram energies representations) studied performance both datasets, with two-dimensional convolutional...
Today people live with a variety of diseases and health conditions that can impact their daily lives, from chronic illnesses such as cancer to mental issues anxiety depression. With the advancement technology healthcare, quality life (QoL) prediction improvement is becoming increasingly important help individuals better. In addition data collected by questionnaires, machine learning be employed predict aspects QoL, fatigue anxiety, based on wearable devices. However, this requires ground...
This paper introduces a multilingual, multispeaker dataset composed of synthetic and natural speech, designed to foster research benchmarking in speech detection. The encompasses 18,993 audio utterances synthesized from text, alongside with their corresponding equiva-lents, representing approximately 17 hours data. features generated by 156 voices spanning three languages, namely, English, German, Spanish, balanced gender representation. It targets state-of-the-art synthesis methods, has...
In this paper the current status and open challenges of synthetic speech detection are addressed. The work comprises an initial analysis available datasets existing methods, a description requirements for new research compliant with regulations better representing real-case scenarios, discussion desired characteristics future trustworthy methods in terms both functional non-functional requirements. Compared to other works, based on specific solutions or presenting single dataset speeches,...