JavaShuo
欄目
標籤
(IS 19)Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions
時間 2021-01-17
欄目
HTML
简体版
原文
原文鏈接
會議:INTERSPEECH 2019 論文:Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions 作者:Samik Sadhu, Hynek Hermansky Abstract 在這項工作中,我們在自動語音識別(ASR)系統中的訓練和測試條件之間的域不匹配中,證明了
>>阅读原文<<
相關文章
1.
Glove:Global Vectors for Word Representation
2.
(IS 19)Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual b
3.
Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
4.
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
5.
GloVe: Global Vectors for Word Representation
6.
文獻閱讀 - GloVe: Global Vectors for Word Representation
7.
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition論文
8.
Optical Flow Guided Feature A Fast and Robust Motion Representation for Video Action Recognition論文解讀
9.
Why is OFDMA a Magical Feature in the 802.11ax Standard?
10.
What is representation learning?
更多相關文章...
•
Swift for-in 循環
-
Swift 教程
•
Lua for 循環
-
Lua 教程
•
Kotlin學習(一)基本語法
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
相關標籤/搜索
for...in
for..in
for.....in
vectors
mismatched
asr
conditions
modulation
representation
robust
HTML
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
JDK JRE JVM,JDK卸載與安裝
2.
Unity NavMeshComponents 學習小結
3.
Unity技術分享連載(64)|Shader Variant Collection|Material.SetPassFast
4.
爲什麼那麼多人用「ji32k7au4a83」作密碼?
5.
關於Vigenere爆0總結
6.
圖論算法之最小生成樹(Krim、Kruskal)
7.
最小生成樹 簡單入門
8.
POJ 3165 Traveling Trio 筆記
9.
你的快遞最遠去到哪裏呢
10.
雲徙探險中臺賽道:借道雲原生,尋找「最優路線」
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Glove:Global Vectors for Word Representation
2.
(IS 19)Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual b
3.
Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
4.
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
5.
GloVe: Global Vectors for Word Representation
6.
文獻閱讀 - GloVe: Global Vectors for Word Representation
7.
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition論文
8.
Optical Flow Guided Feature A Fast and Robust Motion Representation for Video Action Recognition論文解讀
9.
Why is OFDMA a Magical Feature in the 802.11ax Standard?
10.
What is representation learning?
>>更多相關文章<<