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A Novel Audio Representation for Music Genre Identification in MIR
For Music Information Retrieval downstream tasks, the most common audio representation is time-frequency-based, such as Mel spectrograms.
The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions
However, at that time, players were unaware of the significant impact that playtime could have on their feelings.
Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets
Results indicate that gradient boosting is a useful tool for predicting fund returns; for example, a 1% increase in interest rates causes an actively managed fund's return to decrease by -11. 97%.
Advancing Audio Fingerprinting Accuracy Addressing Background Noise and Distortion Challenges
Audio fingerprinting, exemplified by pioneers like Shazam, has transformed digital audio recognition.
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability
This policy is trained by reinforcement learning algorithms by taking advantage of an environment in which an agent receives feedback in the form of a reward signal.
