Essays about: "Text-to-speech"
Showing result 1 - 5 of 21 essays containing the word Text-to-speech.
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1. Diffusion-based Vocoding for Real-Time Text-To-Speech
University essay from Lunds universitet/Matematisk statistikAbstract : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. READ MORE
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2. How to design a digital guide app in Flutter/Firebase with a focus on the group experience and Text-To-Speech
University essay from Linköpings universitet/Interaktiva och kognitiva system; Linköpings universitet/Tekniska fakultetenAbstract : With an emphasis on usability, this paper intends to create a digital museum guide app using the Flutter framework and Firebase web platform. In order to improve the visitor's experience, the app will make use of Geolocation, QR codes, and text-to-speech with translation. 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. Text Prediction using Machine Learning
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Language modeling is a very broad field and has been used for various purposes for a long period of time to make the lives of people easier. Language modeling is also used for text prediction for mobile keyboards to make the user experience smooth. READ MORE
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5. 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