ITU-T Liaison Statements

ITU-T LIAISON STATEMENT SG3-LS107

Outgoing from:

SG3

Sent for action to:

SG16 registered as T17-SG16-220117-TD-GEN-0726 for meeting [E-Meeting, 17-28 January 2022]

Sent for information to:

In response to:

Source:

ITU-T Study Group 3

Title:

LS/r on information about work item F.AI-FASD on a framework for audio structuralizing based on deep neural network (reply to SG16-LS271)

Reference:

386/GEN

Approval date:

2021-12-17

Deadline date:

2022-05-15

Full path:

See full conversation:

LS	Title	From	To	Approval date
SG16-LS305	LS/r on information about work item F.AI-FASD on a framework for audio structuralizing based on deep neural network (SG3-LS107) [to ITU-T SG3]	SG16	SG3;	2022-01-28
SG3-LS107	LS/r on information about work item F.AI-FASD on a framework for audio structuralizing based on deep neural network (reply to SG16-LS271)	SG3	SG16;	2021-12-17
SG16-LS271	LS on information about work item F.AI-FASD on a framework for audio structuralizing based on deep neural network [to ITU-T Q8/3]	SG16	SG3;	2021-10-29