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AGC2 RNN VAD: Recurrent Neural Network impl

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RNN implementation for the AGC2 VAD that includes a fully connected
layer and a gated recurrent unit layer.

Bug: webrtc:9076
Change-Id: Ibb8b0b4e9213f09eb9dbe118bbdc94d7e8e4f91b
Reviewed-on: https://webrtc-review.googlesource.com/72060
Reviewed-by: Patrik Höglund <phoglund@webrtc.org>
Reviewed-by: Alex Loiko <aleloi@webrtc.org>
Reviewed-by: Ivo Creusen <ivoc@webrtc.org>
Commit-Queue: Alessio Bazzica <alessiob@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#23101}
This commit is contained in:
Alessio Bazzica
2018-05-03 11:37:13 +02:00
committed by Commit Bot
parent 1c62b986d9
commit 2491cb7382
11 changed files with 560 additions and 0 deletions
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tools_webrtc/libs/generate_licenses.py
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@ -44,6 +44,7 @@ LIB_TO_LICENSES_DICT = {
'openmax_dl': ['third_party/openmax_dl/LICENSE'],
'opus': ['third_party/opus/src/COPYING'],
'protobuf': ['third_party/protobuf/LICENSE'],
'rnnoise': ['third_party/rnnoise/COPYING'],
'usrsctp': ['third_party/usrsctp/LICENSE'],
'webrtc': ['LICENSE', 'LICENSE_THIRD_PARTY'],
'zlib': ['third_party/zlib/LICENSE'],