Sökning: "Mel spectrogram"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden Mel spectrogram.
1. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : 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. LÄS MER
2. Violin Artist Identification by Analyzing Raga-vistaram Audio
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Estimating the risk of insurance fraud based on tonal analysis
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER
4. Towards a Nuanced Evaluation of Voice Activity Detection Systems : An Examination of Metrics, Sampling Rates and Noise with Deep Learning
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Recently, Deep Learning has revolutionized many fields, where one such area is Voice Activity Detection (VAD). This is of great interest to sectors of society concerned with detecting speech in sound signals. One such sector is the police, where criminal investigations regularly involve analysis of audio material. LÄS MER
5. Multi-objective optimization for model selection in music classification
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. LÄS MER