Context

AI-generated music is not new, however, the recent advancements in TTS have led to more fine-grained control over the generated sound.

Duration

10 minutes

Talk flow

Motivation
Model Architecture
Sample sounds
Possible pitfalls
Next steps

Key takeaways

The audience will get an understanding of TTS and how can one tweak the architecture to gain prosodic control over the generated speech.

P.S. The other details above are just a suggestion and you can tweak it at your convenience, just copy this template and respond with what you would like to cover.

If you would like to present on this topic or suggest a speaker, please leave a comment below :)

# Context AI-generated music is not new, however, the recent advancements in TTS have led to more fine-grained control over the generated sound. # Duration 10 minutes # Talk flow 1. Motivation 2. Model Architecture 3. Sample sounds 4. Possible pitfalls 5. Next steps # Key takeaways The audience will get an understanding of TTS and how can one tweak the architecture to gain prosodic control over the generated speech. P.S. The other details above are just a suggestion and you can tweak it at your convenience, just copy this template and respond with what you would like to cover. If you would like to present on this topic or suggest a speaker, please leave a comment below :)

robz commented

2022-01-04 00:58:51 -05:00

(Migrated from github.com)

Here is a similar topic I'd be happy to present on. It's a bit more basic than what you described above, but could be a good stepping stone towards more advanced topics.

Musical representations

Context

Just as we use text to encode spoken words, we also have several ways to encode music, such as sheet music and the MIDI file format. These musical representations can be adapted to use for machine learning applications that involve processing and generating music.

Duration

10 minutes

Talk flow

Motivation - why musical representations are useful
Sheet music, scores, piano rolls
MIDI, performance data
Learned representations

Key takeaways

The audience will get an understanding of several musical representations, how to use them to build models for music-related tasks, and pointers to helpful frameworks and papers to learn more.

Here is a similar topic I'd be happy to present on. It's a bit more basic than what you described above, but could be a good stepping stone towards more advanced topics. # Musical representations ## Context Just as we use text to encode spoken words, we also have several ways to encode music, such as sheet music and the MIDI file format. These musical representations can be adapted to use for machine learning applications that involve processing and generating music. ## Duration 10 minutes ## Talk flow - Motivation - why musical representations are useful - Sheet music, scores, piano rolls - MIDI, performance data - Learned representations ## Key takeaways The audience will get an understanding of several musical representations, how to use them to build models for music-related tasks, and pointers to helpful frameworks and papers to learn more.

👍 1 ❤️ 1

Vaibhavs10 commented

2022-01-08 05:47:28 -05:00

(Migrated from github.com)

Hey @robz - I love the proposal, I tried DMing you on Discord but couldn't because of your settings. Can you flick me a DM when you have the time, we can discuss the structure and come up with a rough timeline.

Excited about this xD

Cheers!

Hey @robz - I love the proposal, I tried DMing you on Discord but couldn't because of your settings. Can you flick me a DM when you have the time, we can discuss the structure and come up with a rough timeline. Excited about this xD Cheers!

AliceSum commented

2022-01-31 06:30:08 -05:00

(Migrated from github.com)

I am looking forward on this generation, a super exciting part, in the course😃😆

Rows
Columns

Music Generation & Processing #6

Context

Duration

Talk flow

Key takeaways

Musical representations

Context

Duration

Talk flow

Key takeaways