Essays about: "sånger"
Showing result 1 - 5 of 11 essays containing the word sånger.
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1. Assessing the Viability of Random Indexing in Song Recommender Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis assesses how Random Indexing performs as a recommender system for music recommendations. Recommender systems have gotten more and more important as the amount of content provided gets larger and larger. They are usually focused on either product traits, and how they relate, or users and their past consumption. READ MORE
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2. The Role of Songs for ELL in Extramural Contexts
University essay from Malmö universitet/Fakulteten för lärande och samhälle (LS)Abstract : Investigations of the Swedish upper secondary school show that almost one fifth of the students struggle with low motivation. Hence, this paper concentrates on two different contexts in which increased motivation for ESL has been highlighted: contexts where songs and music are used, and extramural contexts. READ MORE
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3. Neural Analysis of Juvenile Songbirds : Analysis of context dependent change in the trial-by-trial variability of spiking activity recorded from song birds
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Previous studies have shown that it is possible for juvenile songbirds to learn songs through listening to prerecorded songs played back to them. What is not known however, is how this will differ from normal learning, both on neural level as well as on the bird as whole. READ MORE
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4. Benefits of Songs in the ESL Classroom
University essay from Malmö universitet/Fakulteten för lärande och samhälle (LS)Abstract : One can argue that songs offer a useful learning opportunity for learning English as a second language since it includes the combination of music and text. Therefore, the purpose of this paper is to examine in what ways songs can affect the ESL classroom. READ MORE
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5. Music generation using tracker music and machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We investigate the modelling of polyphonic “tracker music” using deep neural networks. Tracker music is a music storage format invented in the late 1980s for use on that time’s home computers and is often used for storing synthesized electronic music. READ MORE
