Searched for: subject%3A%22audio%22
(1 - 20 of 101)

Pages

document
Groenenboom, Max (author)
Sound pollution is becoming an increasingly pressing issue in today’s world. To effectively address it, it must be measured. To this end, Serval was developed, an edge-ai powered sound recognition solution. Its lack of accuracy, however, makes it difficult to deploy. This thesis examines the potential for improving this solution while staying...
master thesis 2024
document
Zhang, Liang (author), Li, Guang (author), Chen, Huang (author), Tang, Jingtian (author), Yang, Guanci (author), Yu, Mingbiao (author), Hu, Yong (author), Xu, Jun (author), Sun, J. (author)
Audio magnetotelluric (AMT) is commonly used in mineral resource exploration. However, the weak energy of AMT signals makes them susceptible to being overwhelmed by noise, leading to erroneous geophysical interpretations. In recent years, deep learning has been applied to AMT denoising and has shown better denoising performance compared to...
journal article 2024
document
Valiyaveedu, Anjay (author)
This graduation thesis is on the topic of Critical audible alarm-sound design for handheld monitoring devices in Neonatal ICUs. Hand-held mobile devices are being tested in the field for effective alarm perception and response in the NICU at Erasmus MC Sophia's Hospital, Rotterdam. Based on the context analysis, the major stakeholder, and the...
master thesis 2023
document
Voorneveld, Elvira (author)
Behavior support applications aim to provide personalized and flexible support to users in various domains. To achieve this, understanding users' preferences, values, and context is crucial. Creating user models that incorporate users' norms and values has been proposed as a solution to capture the relationship between desired behaviors and...
bachelor thesis 2023
document
de Groot, Dimme (author)
The work presented in this thesis investigates the creation of virtual sound sources in a room equipped with a limited number of loudspeakers. This limited number of loudspeakers is typical for consumer loudspeaker systems. Ideally, these systems can provide a listening experience in which localisation cues are completely present. However, in...
master thesis 2023
document
Eveleens, Richard (author)
Over the past decade, spatial audio awareness evolved into an in-demand feature in audio entertainment. The addition of sound source locations to, for instance, movies or music adds a level of auditory envelopment and spatial awareness to the audio experience. Expensive setups present in, for instance, cinema's, are able to create this...
master thesis 2023
document
WANG, Junjie (author)
AC-coupled amplifiers (ACCA) offer lower noise than traditional resistor feedback amplifiers, which benefits signal-to-noise ratio (SNR) for audio applications. Due to the DC isolation of the capacitor, a feedback resistor is needed to set the virtual ground of ACCA’s amplifier. However, an external feedback resistor raises system noise and...
master thesis 2023
document
Chen, Minggang (author), Zhang, H. (author), Fan, Q. (author)
Silicon MOSFETs-based medium-power (< 50W) Class-D amplifiers (CDAs) switching in the MHz range have gained popularity in recent years, which achieves better linearity thanks to a higher loop gain in the audio band while enabling the use of LC filters with higher cut-off frequencies. However, for high-power (>100 W) CDAs, such switching...
conference paper 2023
document
Hutiri, Wiebke (author), Ding, Aaron Yi (author), Kawsar, Fahim (author), Mathur, Akhil (author)
Billions of distributed, heterogeneous, and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast, and offline inference on personal data. On-device ML is highly context dependent and sensitive to user, usage, hardware, and environment attributes. This sensitivity and the propensity toward bias in ML makes...
journal article 2023
document
Thirani, Kushal (author), Abbink, D.A. (author), Peternel, L. (author)
This paper studies non-physical feedback mechanisms to guide human workers toward ergonomic body postures. Specifically, the focus is to solve the tasks that involve no direct physical interaction between the human and the robotic system, therefore tactile guidance by the robot body is not feasible. We propose a multi-modal ergonomic posture...
conference paper 2023
document
Lombardo, Nick (author)
Class-D amplifiers are quickly becoming the standard in many audio applications. Their highly efficient behavior and wide power range make these amplifiers more suitable than traditional Class A/AB audio amplifiers. Battery-powered devices are a particularly interesting sub-field due to their special demand for extended battery duration and...
master thesis 2022
document
van der Wal, Robin (author)
Multiple Instance Learning (MIL) is a type of semi-supervised machine learning used recently in medical and multi-media fields. In MIL, instead of a single feature vector, a set of feature vectors has to be classified. Standard MIL algorithms assume that only some of these vectors are useful for building a classifier. This paper extends the...
master thesis 2022
document
Pecanins Martínez, Victor (author)
Several techniques have been proposed to reduce the swing at the input stage of a CTDSM. One of these is using a simple passive RC input stage. In prior works, this increased in-band quantization noise. In this paper, we use positive feedback to realize complex-conjugate poles with a passive input stage, obtaining the same noise-shaping as an...
master thesis 2022
document
Brouwer, Hans (author)
Synthesizing audio-reactive videos to accompany music is challenging multi-domain task that requires both a visual synthesis skill-set and an understanding of musical information extraction. In recent years a new flexible class of visual synthesis methods has gained popularity: generative adversarial networks. These deep neural networks can be...
master thesis 2022
document
Vunderink, Pepijn (author)
With widespread use of advanced technology for the recording, storing and sharing of social interactions, protecting privacy of people has been a growing concern. This paper zooms in on the collection of spoken audio with regard for the privacy of recorded individuals. Recently efforts have been made to collect audio at a low sampling rate to...
bachelor thesis 2022
document
Uno, Taichi (author)
The interactions between human and machines are now common in our daily life. The audio data of human communication is a rich source of information, but it is con- sidered privacy-invasive for machines to listen to it. By reducing sampling frequency, it is possible to preserve privacy by making conversation unclear while still being possible to...
bachelor thesis 2022
document
Mešić, Amar (author)
Building Automatic Speech Recognizers (ASRs) has been a challenge in languages with insufficiently sized corpora or data sets. A further large issue in language corpora is biases against regionally accented speech and other speaker attributes. There are some techniques to improve ASR performance and reduce biases in these corpora, known as data...
bachelor thesis 2022
document
Bălan, Dragos (author)
There are many experiments conducted with Automatic Speech Recognition (ASR) systems, but many either focus on specific speaker categories or on a language in general. Therefore, bias could occur in such ASR systems towards different genders, age groups, or dialects. But, to analyze and reduce bias, the models require significant amounts of data...
bachelor thesis 2022
document
Gerritsen, Pepijn (author)
This master thesis described the embodiment design process of a new full-range directional hi-fi loudspeaker using a cardioid radiation pattern for Dutch & Dutch. Directional speakers minimize room boundary reflections to ensure the listener listens only to the direct sound waves coming from the speaker instead of also listening to the non...
master thesis 2022
document
Kapadia, Mihir (author)
Emotion Recognition is one of the vastly studied areas of affective computing. Attempts have been made to design emotion recognition systems for everyday settings. The ubiquitous nature of Intelligent voice assistants (IVAs) in households, make them a great anchor for the introduction of emotion recognition technology to consumers. The existing...
master thesis 2022
Searched for: subject%3A%22audio%22
(1 - 20 of 101)

Pages