Music video

This study investigates how background music influences learning with respect to three different theoretical approaches. Both the Mozart effect as well as the arousal-mood-hypothesis indicate that background music can potentially benefit learning outcomes. While the Mozart effect assumes a direct influence of background music on cognitive abilities, the arousal-mood-hypothesis assumes a mediation effect over arousal and mood. However, the seductive detail effect indicates that seductive details such as background music worsen learning. We tested 81 college students using a between-subject design with half of the sample listening to two pop songs while learning a visual text and the other half learning in silence. We included working memory capacity in the design as a continuous organism variable. Arousal and mood scores before and after learning were collected as potential mediating variables.

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Making classical music relevant to a forward-looking society. Happy Hour takes place from 6 – 7 PM PDT, though we occasionally accommodate the timezones of special guests around the world. Find out how to join us on YouTube live for optimal sound quality! Instructions here. Free free to share Happy Hour with others. Originally from Damascus, Syria, Kinan brings his music to all corners of the world as a clarinet soloist, composer and improviser.

This will help your music get on Apple Music and the iTunes Store—and available to Remastered versions must still be given the original release date for the Raga Ahir Bhairav: Khayal In Slow Ek Taal “Rasiya Mhara”/ Khayal In Fast Teen.

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Sleep is vital for human health and wellbeing, and sleep disturbances are comorbid to many mental and physiological disorders. Music consistently improves subjective sleep quality, whereas results for objective sleep parameters diverge. These inconsistencies might be due to inter-individual differences. We show that music improved subjective sleep quality as compared to the text condition. In all participants, music resulted in a reduced amount of sleep stage N1 during the nap.

However, these effects occurred only in participants with a low suggestibility index. We conclude that listening to music before a nap can improve subjective and objective sleep parameters in some participants. Sleep plays an important role for maintaining physical and mental health 1 , 2 , 3 , 4 , 5 , and is critical for general well-being 6 , 7. However, sleep disturbances are highly common in our society 8 , with increased prevalence in ageing 9 as well as among people at risk of or suffering from a psychiatric disorder

Effects of Relaxing Music on Healthy Sleep

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A music video is a short film that integrates a song with imagery, and is produced for promotional or artistic purposes. There are also cases where songs are used in tie-in marketing campaigns that allow them to become more than just a song. Tie-ins and merchandising can be used for toys or for food or other products. Although the origins of the music video date back to musical short films that first appeared in the s, they again came into prominence in the s when the channel MTV originally “Music Television” based its format around the medium.

Prior to the s, these kinds of videos were described by various terms including ” illustrated song “, “filmed insert”, “promotional promo film”, “promotional clip”, “promotional video”, “song video”, “song clip” or “film clip”. Music videos use a wide range of styles and contemporary video-making techniques, including animation , live action , documentary , and non-narrative approaches such as abstract film.

Some music videos combine different styles with music, such as animation and live-action. Combining these styles and techniques has become more popular because of the variety for the audience. Many music videos interpret images and scenes from the song’s lyrics, while others take a more thematic approach. Other music videos may not have any concept, being merely a filmed version of the song’s live concert performance.

In , sheet music publishers Edward B. This would become a popular form of entertainment known as the illustrated song , the first step toward music video.

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iTunes Store Music Style Guide 2.1.5

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more exposure for your music and drive more interactions with your listeners. a budget for how much you’d like to spend; Select your start and end date for.

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What will they gonna say this time? Sounds stressful. Do you feel like this will change after a while? I have four records now! I have a whole body of work representing different times of my life. I feel proud of this. You did HiRUDin differently than the records before. Can you tell me more about your approach? I feel like my first three records are connected and this one is separated.

The Most Mysterious Song on the Internet

The music video might never achieve its golden-age omnipresence again, but when done right, it could still be just as impactful. Over the decade to follow, countless artists would follow their examples, with music videos both casual and epic that managed to cut through the Internet’s content overload and capture the national imagination like the Buzz Clips of yore. Here are of the biggest reasons why the music video feels in a far healthier place moving into the s than it did a decade ago — with a YouTube playlist of all at the bottom.

The awareness grew when I started to leave Rome for longer periods to follow my profession and as I deepened my knowledge of the arts and music. Suddenly​.

The song was recorded from a Norddeutscher Rundfunk NDR broadcast at an unknown date widely speculated to be in late or Since , this song has been the subject of a viral Internet phenomenon, with many users of sites such as Reddit and Discord involved in a collaborative effort to search for the origins of the song. Further evidence that supports this as being the earliest possible airing date was the Technics tape deck that he most likely used to record the song on, which was manufactured in as well.

Sometime in , Darius created a playlist titled “Unknown Pleasures”, named after a Joy Division album. It consisted of this song and another unknown song, the latter of which was identified as “Old Ned” by Blue in Heaven. In , Darius digitized his playlist and saved the songs as. Later that year, Darius’ sister, who identified herself as “Lydia H. In , using the pseudonym Anton Riedel, Lydia H.

The mystery of the unidentified song gained viral popularity in when a Brazilian teenager named Gabriel da Silva Vieira began searching for evidence of its origin. He uploaded a clip of the song to YouTube and to many Reddit music subreddits.

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Automatic music generation dates back to more than half a century. A prominent approach is to generate music symbolically in the form of a piano roll, which specifies the timing, pitch, velocity, and instrument of each note to be played. This has led to impressive results like producing Bach chorals, polyphonic music with multiple instruments, as well as minute long musical pieces.

But symbolic generators have limitations—they cannot capture human voices or many of the more subtle timbres, dynamics, and expressivity that are essential to music. A different approach [1] is to model music directly as raw audio. Generating music at the audio level is challenging since the sequences are very long. A typical 4-minute song at CD quality 44 kHz, bit has over 10 million timesteps.

Thus, to learn the high level semantics of music, a model would have to deal with extremely long-range dependencies. One way of addressing the long input problem is to use an autoencoder that compresses raw audio to a lower-dimensional space by discarding some of the perceptually irrelevant bits of information. We can then train a model to generate audio in this compressed space, and upsample back to the raw audio space.

We chose to work on music because we want to continue to push the boundaries of generative models. Now in raw audio, our models must learn to tackle high diversity as well as very long range structure, and the raw audio domain is particularly unforgiving of errors in short, medium, or long term timing. Jukebox’s autoencoder model compresses audio to a discrete space, using a quantization-based approach called VQ-VAE.

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