Essays about: "audio power"
Showing result 1 - 5 of 63 essays containing the words audio power.
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1. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Today streaming services are the most popular way to consume music, and with this the field of Music Information Retrieval (MIR) has exploded. Tangy market is a music investment platform and they want to use MIR techniques to estimate the value of not yet released songs. READ MORE
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2. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. READ MORE
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3. Digital Representation of Audio
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleAbstract : This report focuses on lossless compression of audio, which is usually built on predictioncoding. The aim of the report is to summarize five lossless compression algorithms, presentand compare their methods of compression, and propose what a future format could look like. READ MORE
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4. Performance Analysis of a Godot Game-Agnostic Streaming Tool
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Streaming games is traditionally done with video and audio both for watching on websites like Twitch and YouTube or playing via cloud gaming services. Streaming with video and audio requires good internet speeds to be of satisfactory quality therefore compression algorithms are used. READ MORE
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5. Low Power Hardware Accelerator For Gated Recurrent Unit
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Neural Networks are a subset of Machine Learning which are designed to recognize patterns. Recurrent Neural Networks are an important part of AI (Artificial Intelligence) which allows for short term as well as long term dependencies to be captured. READ MORE