Essays about: "sound and speech"

Showing result 1 - 5 of 94 essays containing the words sound and speech.

1. 1. Could you imagine that face on that body? : A study of deepfakes and performers’ rights in EU law

   University essay from Linköpings universitet/Affärsrätt; Linköpings universitet/Filosofiska fakulteten

   Author : Emil Tyni; [2023]
   Keywords : Intellectual property; Performers rights; Deepfake; AI;

   Abstract : The natural desire to express the human experience through song, dance, speech and movement have characterised culture and society throughout history. From frantic dances around fires, to comedies and dramas at the ancient theatres, to sold out arena concerts, all driven by the same fundamental spirit of creation and expression. READ MORE

3. 2. Approach for frequency response-calibration for microphone arrays

   University essay from KTH/Hälsoinformatik och logistik

   Author : Jacob Drotz; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

4. 3. aiLangu - Real-time Transcription and Translation to Reduce Language Barriers : An Engineering Project to Develop an Application for Enhancing Human Verbal Communication

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Vincent Ringström1; Iley Alvarez Funcke; [2023]
   Keywords : Sound transcription; Sound translation; AI; Deep learning; Real-time; Language barrier; Concurrency; Ljud transkription; Ljud översättning; AI; Djupinlärning; Real-tid; Språkbarriär; Samtidighet;

   Abstract : The research area this report relates to is real-time automatic transcription and translation. The purpose of the work done for the report is to reduce the perceived language barriers online and to make a user-friendly application to make use of the latest deep learning technology to transcribe and translate in real-time. READ MORE

5. 4. The effect of furniture on room acoustic parameters and its dependence on the sound absorbing properties of the ceiling

   University essay from Lunds universitet/Teknisk akustik; Lunds universitet/Institutionen för byggvetenskaper

   Author : Huong Nguyen; [2023]
   Keywords : Room acoustics; furniture; Sabine s formula; SEA model; sound absorption; sound scattering; reverberation time; speech clarity; sound strength; Technology and Engineering;

   Abstract : In ordinary public rooms such as classrooms and offices, the base line of acoustical treatment is an absorbent suspended ceiling. Due to the non-uniform distribution of the absorptive ceiling material, the scattering as well as the absorption properties of furniture will have a significant effect on room acoustic parameters such as reverberation time, speech clarity and sound strength. READ MORE

6. 5. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : M Asjid Tanveer; [2023]
   Keywords : Technology and Engineering;

   Abstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE