Wow this is the fastest way, I thought to store songs as strings, and with user input auto generate the captions strings and match the database strings with user input string using trie data structure....
How is exactly is hash of a chunk calculated? Lets say a chunk has 3 points, do we first get the 6 pairs within the chunk, get hash of them and then collate the 6 hashes into the hash of the chunk?
Old school whiteboard sessions are back 🔥🔥🔥
Thanks Gaurav for this amazing video 🤜🤛
Waited for this so long, thanks! 😊
Cheers :D
Impressive. Thank you and please keep going with this amazing videos
Was working on a project with similar functionalities, this helps a lot , thanks !
Thank you!
I did not know such app is in existence.
I love it. Useful in restaurants when a good song plays :D
@@gauravraj2604 another bonger, the app is by apple!
Well explained ! Thanks Gaurav
Loved the video, something fresh ⛄️
Welcome back Gaurav ❤
Hee-haw :D
Wow this is the fastest way,
I thought to store songs as strings, and with user input auto generate the captions strings and match the database strings with user input string using trie data structure....
Then how do you search song with only music
@@yadneshkhode3091 not possible, only songs with words can be predicted
Great explanation
Thanks bro❤
Cheers!
So can we optimize the solution by removing repetitive music in a song,
Like many song can have same lines over an over, with same music,
could you please make a few more like this?
How is exactly is hash of a chunk calculated?
Lets say a chunk has 3 points, do we first get the 6 pairs within the chunk, get hash of them and then collate the 6 hashes into the hash of the chunk?
🥰
Just a follow up question, how do we find those interesting points?
Those interesting points are formed when a graph change its behaviour.
🙂👍🏻
Interesting
To me too :D