Essays about: "part of speech"

Showing result 11 - 15 of 167 essays containing the words part of speech.

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

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

   Author : SUSHANTH PATIL; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

3. 12. 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.

   University essay from Örebro universitet/Institutionen för hälsovetenskaper

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

   Abstract : 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. READ MORE

4. 13. Is there a correlation between the ability to recognise speech-in-noise and sensory memory?

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Stella Svedberg; [2023]
   Keywords : Speech-in-noise; Sensory memory; Hagerman test; Pearson correlation; t-test;

   Abstract : Recently, research has begun to pay more attention to the cognitive functions associated with auditory perception. In this study, two tests are performed to investigate the correlation between the ability to recognise speech-in-noise and the performance of sensory memory, as well as to investigate whether the performance would improve during the sensory memory test. READ MORE

5. 14. Cross-Lingual and Genre-Supervised Parsing and Tagging for Low-Resource Spoken Data

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Iliana Fosteri; [2023]
   Keywords : dependency parsing; part-of-speech tagging; low-resource languages; transcribed speech; large language models; cross-lingual learning; transfer learning; multi-task learning; Universal Dependencies;

   Abstract : Dealing with low-resource languages is a challenging task, because of the absence of sufficient data to train machine-learning models to make predictions on these languages. One way to deal with this problem is to use data from higher-resource languages, which enables the transfer of learning from these languages to the low-resource target ones. READ MORE

6. 15. Exploring toxic lexicon similarity methods with the DRG framework on the toxic style transfer task

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

   Author : Martin Iglesias; [2023]
   Keywords : Detoxifcation; Text style transfer; Deep learning; Transformers; Linguistics; Natural Language Processing; Hate speech; Text style-conditional generation; Large language model; Avgiftning; Överföring av textstil; Djupinlärning; Transformatorer; Lingvistik; Naturlig språkbehandling; Hatprat; Textstil - villkorlig generering; Stor språkmodell;

   Abstract : The topic of this thesis is the detoxification of language in social networks with a particular focus on style transfer techniques that combine deep learning and linguistic resources. In today’s digital landscape, social networks are rife with communication that can often be toxic, either intentionally or unintentionally. READ MORE