Essays about: "Speech Synthesis"
Showing result 1 - 5 of 19 essays containing the words Speech Synthesis.
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1. NATO or Not
University essay from Lunds universitet/Statsvetenskapliga institutionenAbstract : Using a framework for analyzing security policy consisting of a synthesis of the Multiple Streams Framework by Kingdon (2014) and Securitization theory as described by Balzacq (2010), this study aims to explain the process of Sweden’s national security policy between 2014 and 2022. Such an investigation has relevance particularly for studies of peace, security and policy processes, since it relates to the broader question of what conditions make military alignment possible or impossible. READ MORE
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2. Evaluation of how text-to-speech can be adapted for the specific purpose of being an AI psychologist
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this research, our goal was to pinpoint the crucial characteristics that make a voice suitable for an AI psychologist. More importantly, we wanted to explore how Text-To-Speech (TTS) combined with conditional voice controlling, also known as ”prompting”, could be used to incorporate these traits into the voice generation process. READ MORE
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3. Automatic Annotation of Speech: Exploring Boundaries within Forced Alignment for Swedish and Norwegian
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In Automatic Speech Recognition, there is an extensive need for time-aligned data. Manual speech segmentation has been shown to be more laborious than manual transcription, especially when dealing with tens of hours of speech. READ MORE
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4. SPEECH SYNTHESIS AND RECOGNITION FOR A LOW-RESOURCE LANGUAGE Connecting TTS and ASR for mutual benefit
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Speech synthesis (text-to-speech, TTS) and speech recognition (automatic speech recognition, ASR) are the NLP technologies that are the least available for low-resource and indigenous languages. Lack of computational and data resources is the major obstacle when it comes to the development of linguistic tools for these languages. READ MORE
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5. Wavebender GAN : Deep architecture for high-quality and controllable speech synthesis through interpretable features and exchangeable neural synthesizers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modeling humans’ speech is a challenging task that originally required a coalition between phoneticians and speech engineers. Yet, the latter, disengaged from phoneticians, have strived for evermore natural speech synthesis in the absence of an awareness of speech modelling due to data- driven and ever-growing deep learning models. READ MORE