Sökning: "audio signal processing"

Visar resultat 1 - 5 av 79 uppsatser innehållade orden audio signal processing.

1. 1. Approach for frequency response-calibration for microphone arrays

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Jacob Drotz; [2023]
   Nyckelord :microphone array; frequency response; calibration; sine sweep; inverse filter; digital signal processing DSP ; convolution; Fast Fourier Transform FFT ; Discrete Fourier Transform DFT ; acoustic measurements; audio engineering; mikrofonarray; frekvenssvar; kalibrering; sinussvep; inverterat filter; digital signalbehandling; faltning; Fast Fourier Transform FFT ; Discrete Fourier Transform DFT ; akustiska mätningar; ljudteknik;

   Sammanfattning : Matched frequency responses are a fundamental starting point for a variety ofimplementations for microphone arrays. In this report, two methods for frequencyresponse-calibration of a pre-assembled microphone array are presented andevaluated. LÄS MER

3. 2. Room Impulse Response Interpolation

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Daníel Thor Wilcox; [2023]
   Nyckelord :Virtual Acoustics; Machine Learning; Signal Processing; Room Impulse Response; Virtuell Akustik; Maskininlärning; Signalbehandling; rumsimpulssvar;

   Sammanfattning : In Virtual Reality (VR) systems, the incorporation of acoustics allows for the generation of audio-visual stimuli, facilitating applications in engineering, architecture, and design. The goal of virtual acoustics is to create a realistic sound field in continuous space. LÄS MER

4. 3. Loudspeaker-Room Correction of Conference Rooms

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Marcus Edmark; [2023]
   Nyckelord :Immersive audio signal processing; room acoustics; room correction; sound systems; conference rooms; Signalbehandling inom ljud; rumsakustik; rumskorrigering; högtalarsystem; konferensrum;

   Sammanfattning : In this Thesis a study on the subject on how to improve the overall sound quality within a room using signal processing, played back using a loudspeaker, was conducted. This is a subject that has gained attention during the recent years, with more and more consumer and professional products including it. LÄS MER

5. 4. Evaluation of Methods for Sound Source Separation in Audio Recordings Using Machine Learning

   Master-uppsats, Linköpings universitet/Kommunikationssystem

   Författare :Amanda Gidlöf; [2023]
   Nyckelord :Sound source separation; signal processing; audio processing; speech enhancement; speaker identification; speech separation; speech processing; speaker separation; single channel; multi channel; cocktail party problem; machine learning; neural network; deep learning; deep neural network; convolutional network; dual-path network; filter-and-sum network; recurrent network; beamforming;

   Sammanfattning : Sound source separation is a popular and active research area, especially with modern machine learning techniques. In this thesis, the focus is on single-channel separation of two speakers into individual streams, and specifically considering the case where two speakers are also accompanied by background noise. LÄS MER

7. 5. Perceptually meaningful time and frequency resolution in applying dialogue enhancement in noisy environments : Dialogue Enhancement research

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :SUSHANTH PATIL; [2023]
   Nyckelord :Dialogue enhancement; audio signal processing; Fourier transform; time constants; environmental noise analysis; noise compensation; subjective listening test; speech intelligibility; quality of experience; listening effort.; Dialogförbättring; ljudsignalbehandling; Fouriertransform; tid konstanter; miljöbrusanalys; bruskompensation; subjektivt lyssnande test; taluppfattbarhet; upplevelsekvalitet; lyssnaransträngning;

   Sammanfattning : Dialogue Enhancement (DE) is a process used in audio delivery systems to improve the clarity, intelligibility, and overall quality of the spoken dialogue in audio content. It is primarily used when dialogue is masked by music, surrounding noise, or other audio sources. LÄS MER