A thought to ponder upon...
AI, MLs, NLP in this cognitive Era is reaching out to almost various industries and making that loud & visible transformation, that is not only overwhelming point, but creating spaces for more opportunity and further advancement in computing world.
Music industry is huge, diverged and well acclaimed across the entire world... Cognitive computing can step into music world and start enticing the music lovers. Deep learning and cognitive computing offerings can go across boundaries, and draw local and global patterns, that would provide valuable insights on -
0. All waves, tunes and tones to be transformed into data
1. Then find out "What tones, pitches and waves are most liked by the lovers" - It may help in study of ever mysterious brain behavior when it come across various permutations & combinations.
2. It may help world lyricists and music directors to create their next masterpiece based on the study.
3. What song should be sung by what singer to create most effective results.
4. We can recreate old dead (but alive in our memories) voices again to get fascinated yet again...
5. What tones and tunes were the trendsetters then and why? Insights about the old magical #s from the past. Amalgamating new and old tunes to form next likable music piece.
6. Singers get insights on cognitive discovery and improve upon their tones/tunes to sing/speak more effectively at each of the song/speech.
7. With language translators, voices from the music or speeches can be used to use the favorite speech or song in the your favorite singer's voice. A song would get auto dubbed putting in a favorite voice.
8... And there are many more innovative juggles that can be thought about once we start our music journey with current AI methods.
AI, MLs, NLP in this cognitive Era is reaching out to almost various industries and making that loud & visible transformation, that is not only overwhelming point, but creating spaces for more opportunity and further advancement in computing world.
Music industry is huge, diverged and well acclaimed across the entire world... Cognitive computing can step into music world and start enticing the music lovers. Deep learning and cognitive computing offerings can go across boundaries, and draw local and global patterns, that would provide valuable insights on -
0. All waves, tunes and tones to be transformed into data
1. Then find out "What tones, pitches and waves are most liked by the lovers" - It may help in study of ever mysterious brain behavior when it come across various permutations & combinations.
2. It may help world lyricists and music directors to create their next masterpiece based on the study.
3. What song should be sung by what singer to create most effective results.
4. We can recreate old dead (but alive in our memories) voices again to get fascinated yet again...
5. What tones and tunes were the trendsetters then and why? Insights about the old magical #s from the past. Amalgamating new and old tunes to form next likable music piece.
6. Singers get insights on cognitive discovery and improve upon their tones/tunes to sing/speak more effectively at each of the song/speech.
7. With language translators, voices from the music or speeches can be used to use the favorite speech or song in the your favorite singer's voice. A song would get auto dubbed putting in a favorite voice.
8... And there are many more innovative juggles that can be thought about once we start our music journey with current AI methods.
