Wyniki wyszukiwania dla: BINAURAL AUDIO THROUGH LOUDSPEAKERS - MOST Wiedzy

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Wyniki wyszukiwania dla: BINAURAL AUDIO THROUGH LOUDSPEAKERS

Wyniki wyszukiwania dla: BINAURAL AUDIO THROUGH LOUDSPEAKERS

  • SYNAT_MUSIC_GENRE_FV_173

    Dane Badawcze

    This is the original dataset containing 51582 music tracks (22 music genres) and 173 element-feature vector [1-6,9]. A collection of more than 50000 music excerpts described with a set of descriptors obtained through the analysis of 30-second mp3 recordings was gathered in a database called SYNAT. The SYNAT database was realized by the Gdansk University...

  • Emotions in polish speech recordings

    Dane Badawcze
    open access

    The data set presents emotions recorded in sound files that are expressions of Polish speech. Statements were made by people aged 21-23, young voices of 5 men. Each person said the following words / nie – no, oddaj - give back, podaj – pass, stop - stop, tak - yes, trzymaj -hold / five times representing a specific emotion - one of three - anger (a),...

  • New Applications of Multimodal Human-Computer Interfaces

    Publikacja

    - Rok 2012

    Multimodal computer interfaces and examples of their applications to education software and for the disabled people are presented. The proposed interfaces include the interactive electronic whiteboard based on video image analysis, application for controlling computers with gestures and the audio interface for speech stretching for hearing impaired and stuttering people. Application of the eye-gaze tracking system to awareness...

  • Musical Instrument Identification Using Deep Learning Approach

    Publikacja

    The work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related to musical instrument identification. It focuses on tasks performed, input type, algorithms employed, and metrics used. The paper starts with the background presentation, i.e., metadata...

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  • Architecture Design of a Networked Music Performance Platform for a Chamber Choir

    This paper describes an architecture design process for Networked Music Performance (NMP) platform for medium-sized conducted music ensembles, based on remote rehearsals of Academic Choir of Gdańsk University of Technology. The issues of real-time remote communication, in-person music performance, and NMP are described. Three iterative steps defining and extending the architecture of the NMP platform with additional features to...

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  • Bimodal Emotion Recognition Based on Vocal and Facial Features

    Emotion recognition is a crucial aspect of human communication, with applications in fields such as psychology, education, and healthcare. Identifying emotions accurately is challenging, as people use a variety of signals to express and perceive emotions. In this study, we address the problem of multimodal emotion recognition using both audio and video signals, to develop a robust and reliable system that can recognize emotions...

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  • Study on CPU and RAM Resource Consumption of Mobile Devices using Streaming Services

    Publikacja

    Streaming multimedia services have become very popular in recent years, due to the development of wireless networks. With the growing number of mobile devices worldwide, service providers offer dedicated applications that allow to deliver on-demand audio and video content anytime and everywhere. The aim of this study was to compare different streaming services and investigate their impact on the CPU and RAM resources, with respect...

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  • Rough Sets Applied to Mood of Music Recognition

    Publikacja

    With the growth of accessible digital music libraries over the past decade, there is a need for research into automated systems for searching, organizing and recommending music. Mood of music is considered as one of the most intuitive criteria for listeners, thus this work is focused on the emotional content of music and its automatic recognition. The research study presented in this work contains an attempt to music emotion recognition...

  • Subjective and Objective Quality Evaluation Study of BPL -PLC Wired Medium

    Publikacja

    - Elektronika Ir Elektrotechnika - Rok 2020

    This paper presents results of research on the effectiveness of bi-directional voice transmission in a 6 kV mine cable network using BPL-PLC (Broadband over Power Line - Power Line Communication) technology. It concerns both emergency cable state (supply outage with cable shorted at both ends) and loaded with distorted current waveforms. The narrowband (0.5 MHz–15 MHz) and broadband (two different modes, frequency range of 3 MHz–7.5...

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  • Halucynacje chatbotów a prawda: główne nurty debaty i ich interpretacje

    Publikacja
    • J. Kreft
    • M. Boguszewicz-kreft
    • B. Cyrek

    - Roczniki Nauk Społecznych - Rok 2024

    Generatywne systemy sztucznej inteligencji (SI) są w stanie tworzyć treści medialne poprzez zastosowanie uczenia maszynowego do dużych ilości danych szkoleniowych. Te nowe dane mogą obejmować tekst (np. Bard firmy Google, LLaMa firmy Meta lub ChatGPT firmy OpenAI) oraz elementy wizualne (np. Stable Diffusion lub DALL-E OpenAI) i dźwięk (np. VALL-E firmy Micro- soft). Stopień zaawansowania tych treści może czynić je nieodróżnialnymi...

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  • Video recordings of bees at entrance to hives

    Dane Badawcze
    open access - seria: Bees

    Video recordings of bees at entrance to hives from 2017-04-22, 2017-04-23 and 2018-05-22. All recordings were made using hand-held full HD camera (Samsung Galaxy S3) and encoded using H.264 video codec (Standard Baseline Profile for mov files from 2017, High Profile for mp4 files from 2018) , 30 FPS and bit rate 14478 kb/s (mov files from 2017) or 16869 kb/s...

  • Automatic Breath Analysis System Using Convolutional Neural Networks

    Publikacja

    Diseases related to the human respiratory system have always been a burden for the entire society. The situation has become particularly difficult now after the outbreak of the COVID-19 pandemic. Even now, however, it is common for people to consult their doctor too late, after the disease has developed. To protect patients from severe disease, it is recommended that any symptoms disturbing the respiratory system be detected as...

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  • A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

    Publikacja

    In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...

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  • Smart Virtual Bass Synthesis Algorithm Based on Music Genre Classification

    Publikacja

    The aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) algorithms applied to portable computers. The proposed algorithm employed automatic music genre recognition to determine the optimum parameters for the synthesis of additional frequencies. The synthesis was carried out using the non-linear device (NLD) and phase vocoder (PV) methods depending on the music excerpt genre. Classification of musical...

  • TRANSPORT POSSIBILITY FOR MPEG-4/AVC- AND MPEG-2-ENCODED VIDEO DATA IN IPTV: A COMPARISON STUDY

    Publikacja

    - Rok 2013

    IPTV (Television over IP) is a modern service with a great potential to expand. It uses the IP transport platform, that is already in worldwide operation. At the time of writing, two techniques are used to transport the video and audio data of IPTV: MPEG-2 TS and Native RTP. The two techniques quite definitely have an influence on both quality of service (QoS) and quality of experience (QoE). This paper sets out to demonstrate...

  • Automatic Breath Analysis System Using Convolutional Neural Networks

    Publikacja

    Diseases related to the human respiratory system have always been a burden for the entire society. The situation has become particularly difficult now after the outbreak of the COVID-19 pandemic. Even now, however, it is not uncommon for people to consult their doctor too late, after the disease has developed. To protect patients from severe disease, it is recommended that any symptoms disturbing the respiratory system be detected...

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  • Broadening the scope of measurement and analysis of vibrations of an organ pipe employing intensity probe, simulations, and highspeed camera

    Publikacja

    This paper shows an integrated approach to measure, analyze, and model phenomena occurring in an organ pipe driven by pressurized air. The aim of this paper is two-fold, i.e., to measure the pressure signal and the intensity field around the mouth by means of an intensity probe and to visualize and observe the motion of the air jet, which represents the excitation mechanism of the system. This is realized through two techniques,...

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  • Speech Analytics Based on Machine Learning

    In this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...

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  • e-wykład "Fizyk pod wodą" - Brygida Mielewska (FTiMS)

    Kursy Online
    • B. Mielewska

    Kurs zawiera materiał wykładowy pt. "Fizyk pod wodą" dotyczący fizycznych i biofizycznych aspektów nurkowania. Wykład stanowi uzupełnienie treści do przedmiotu "Biofizyka", może tez stanowić samodzielny materiał popularyzatorski, nie wymagający wiedzy specjalistycznej. Kurs zawiera 3-częściowy wykład audio w formacie SCORM, materiały pomocnicze do notatek oraz krótkie quizy tematyczne do każdej z części. Do korzystania z pełnej...

  • SYNAT Music Genre Parameters PCA 19

    Dane Badawcze

    The dataset contains feature vector after  Principal Component Analysis (PCA) performing, so there are 11 music genres and 19-element vector derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier research studies carried out by the team of authors [1-6]. A collection of 52532 music excerpts described...