Sökning: "speech in noise test"

Visar resultat 1 - 5 av 43 uppsatser innehållade orden speech in noise test.

  1. 1. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Ishika Gupta; [2023]
    Nyckelord :Transformer; BERT; KB-BERT; NLP; punctuation restoration; deep learning; neural networks;

    Sammanfattning : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. LÄS MER

  3. 2. Expressive Signals : The art of connecting: Enhancing digital expression through crafted connectivity and micro-interactions

    Master-uppsats, Umeå universitet/Designhögskolan vid Umeå universitet

    Författare :Linda Marie Kraft; [2023]
    Nyckelord :storytelling; digital communication; micro interactions; design system; haptics;

    Sammanfattning : How do we design for connection? How might we introduce quirkiness, personal expression and a little bit of magic to our unified, unemotional black screens? Working with design systems can have perks, but something gets lost when we systemise how we communicate. I argue to open up rigid design systems and loosen their rules to elicit something new that’s cute, weird, and so unique: it becomes magical. LÄS MER

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

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :M Asjid Tanveer; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : 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. LÄS MER

  5. 4. 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

  7. 5. Comparison between the SiP-test (Situated Phoneme test) and conventional Swedish SIN (TiB)-test (Speech in Noise Test). : An experimental comparison of two methods for speech perception in people with Arabic as mother tongue.

    Kandidat-uppsats, Örebro universitet/Institutionen för hälsovetenskaper

    Författare :Elpida Saridou; [2023]
    Nyckelord :Speech perception; speech recognition test; speech in noise test; speech test; Swedish speech perception test; situated phoneme test; non-native; bilingualism;

    Sammanfattning : Background: The difficulties for people to understand and perceive speech in second languages in the presence of background noise is well documented in the literature. Similar difficulties have been reported in bilinguals. LÄS MER