Essays about: "Speech-like"

Found 3 essays containing the word Speech-like.

  1. 1. EEG-Based Speech Decoding Using a Machine Learning Pipeline

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Julia Önerud; [2023]
    Keywords : EEG; EEG-Decoding; Speech-like; Neuro; Neurotech; Machine-learning; SVM; Feature Extraction; Feature Selection; Mentalab; Inner Speech; OVR; Baseline-Correction; State-of-the-art; State-of-the-art Accuracy; Directions; Emotions;

    Abstract : his project aims to find a method that will help fill the information gaps in electroencephalography (EEG) brain-computer interfaces (BCI) research, by creating a pipeline method that allows for quicker research iterations than current state-of-the-art methods. The pipeline method is a multi-step processstarting from the recording EEG data from a subject performing a thought paradigm action, continuing with processing and decoding of the data, and ending with visualization and analysis the decoded results. READ MORE

  3. 2. A Critical Study of Mubarak’s Last Speech: Examining the Manipulative Strategies

    University essay from Lunds universitet/Arabiska

    Author : Shaymaa Esmail; [2013]
    Keywords : Critical Discourse analysis; Political speeches; Manipulation; Languages and Literatures;

    Abstract : This paper is trying to examine whether or not manipulation exists in political speeches by investigating the last speech given by the Egyptian ex-president, Mubarak, during the revolution of January 25th, 2011. The study is conducted, mainly, by applying Critical Discourse Analysis theory to the text under examination with the aim of pointing out manipulative features. READ MORE

  4. 3. Speech Enhancement using Constrained-ICA with Bessel Features

    University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Author : Balakrishna Lavu; Ashokkumar P V; [2011]
    Keywords : Independent Component Analysis; Speech Recognition; Fourier Bessel Features;

    Abstract : In this thesis, we proposed an approach for extracting a desired speech signal from a mixed source signal using the ICA-R algorithm and Bessel features. Here the desired speech signal and the reference signal are two different speech utterances of a same speaker. READ MORE