Essays about: "Audio Classification"
Showing result 1 - 5 of 58 essays containing the words Audio Classification.
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1. Hit song analysis on the Swedish music market : An exploration of hit song classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Assessing hit song potential is a challenge in the music industry. The question of what song to promote, which song to release first and whether or not it will succeed has always been an issue for stakeholders in the music business. The ability to statistically evaluate hit song potential is a growing field with several studies exploring the topic. READ MORE
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2. 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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3. Violin Artist Identification by Analyzing Raga-vistaram Audio
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the inception of music streaming and media content delivery platforms, there has been a tremendous increase in the music available on the internet and the metadata associated with it. In this study, we address the problem of violin artist identification, which tries to classify the performing artist based on the learned features. READ MORE
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4. 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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5. Generating personalized music playlists based on desired mood and individual listening data
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Music listening is considered one of the most ubiquitous activities in everyday life, and one of the main reasons why people listen is to affect and regulate their mood. The vast availability and unlimited access of music has made it difficult to find relevant music that fits both the context and the preferences of the music listener. READ MORE