Главная
Study mode:
on
1
Intro
2
Defining the sound generation task
3
Classification of sound generation systems
4
Types of generated sounds
5
Sound representations
6
Generation from raw audio
7
Challenges of raw audio generation
8
Generation from spectrograms
9
Advantages of generation from spectrograms
10
Challenges of generation from spectrograms
11
Can we generate sound with MFCCs?
12
DL architectures for sound generation
13
Inputs for generation
14
Details about the sound generative system we'll build
15
What's next?
Description:
Explore the approaches and challenges of sound generation with deep learning in this comprehensive video lecture. Gain an understanding of the sound generation task and learn to classify different types of sound generation systems. Delve into various approaches and deep learning models used for generating sound, including raw audio and spectrogram-based methods. Examine the challenges encountered with different techniques and discuss the features used to train generative sound systems. Discover the advantages and limitations of various sound representations, deep learning architectures, and input types for sound generation. Conclude with insights into building a sound generative system and future directions in this exciting field of artificial intelligence and audio processing.

Sound Generation with Deep Learning - Approaches and Challenges

Valerio Velardo - The Sound of AI
Add to list
0:00 / 0:00