Bothell, Washington
United States
67
2025-07-24
The entities that hold a legal rights for patent applications filed by inventor Yu Dong:
Dong Yu from Bothell, US has applied for patents for these inventions. The list has both pending applications and granted patents:
MOE MODEL FROM BLOCK SPARSE COMPUTATION'S POINT OF VIEW
#2 | 2024-06-27Extractive method for speaker identification in texts with self-training
#3 | 2023-06-22INSTANCE ADAPTIVE TRAINING WITH NOISE ROBUST LOSSES AGAINST NOISY LABELS
#4 | 2023-04-27Bridging semantics between words and definitions via aligning word sense inventories
#5 | 2023-03-23N-best softmax smoothing for minimum bayes risk training of attention based sequence-to-sequence models
#6 | 2023-02-16Extractive method for speaker identification in texts with self-training
#7 | 2022-10-27Learning singing from speech
#8 | 2022-09-29Multi-look enhancement modeling and application for keyword spotting
#9 | 2022-06-16Multi-band synchronized neural vocoder
#10 | 2022-06-09Learnable speed control of speech synthesis
#11 | 2022-04-14Multi-task training architecture and strategy for attention-based speech recognition system
#12 | 2022-02-03Singing voice conversion
#13 | 2022-01-27Automatic lexical sememe prediction system using lexical dictionaries
#14 | 2022-01-13Multi-tap minimum variance distortionless response beamformer with neural networks for target speech separation
#15 | 2022-01-06Multi-look enhancement modeling and application for keyword spotting
#16 | 2021-12-16Multi-modal framework for multi-channel target speech separation
#17 | 2021-12-02Duration informed attention network (DURIAN) for audio-visual synthesis
#18 | 2021-09-09Unsupervised singing voice conversion with pitch adversarial network
#19 | 2021-09-09Learnable speed control for speech synthesis
#20 | 2021-08-26Token-wise training for attention based end-to-end speech recognition
#21 | 2021-08-19Singing voice conversion
#22 | 2021-08-12Learning singing from speech
#23 | 2021-07-29Audio recognition method and system and machine device
#24 | 2021-05-20Model training method, media information synthesis method, and related apparatuses
#25 | 2021-03-25Multi-band synchronized neural vocoder
#26 | 2021-02-25Duration informed attention network (DURIAN) for audio-visual synthesis
#27 | 2021-02-11Speech recognition method and apparatus, and method and apparatus for training speech recognition model
#28 | 2021-01-14Distributed and collaborative analytics of encrypted data using deep polynomial networks
#29 | 2021-01-07Multi-person speech separation method and apparatus using a generative adversarial network model
#30 | 2020-11-26Mixed speech recognition method and apparatus, and computer-readable storage medium
#31 | 2020-10-29Duration informed attention network for text-to-speech analysis
#32 | 2020-10-01Automatic lexical sememe prediction system using lexical dictionaries
#33 | 2020-08-20Best path change rate for unsupervised language model weight selection
#34 | 2020-08-20Large margin training for attention-based end-to-end speech recognition
#35 | 2020-08-20Token-wise training for attention based end-to-end speech recognition
#36 | 2020-08-13Unsupervised automatic speech recognition
#37 | 2020-08-13Enhancing hybrid self-attention structure with relative-position-aware bias for speech synthesis
#38 | 2020-05-14N-best softmax smoothing for minimum bayes risk training of attention based sequence-to-sequence models
#39 | 2020-04-30Multi-task training architecture and strategy for attention-based speech recognition system
#40 | 2020-04-16Input-feeding architecture for attention based end-to-end speech recognition
#41 | 2020-03-05Multistage curriculum training framework for acoustic-to-word speech recognition
#42 | 2020-02-06Monaural multi-talker speech recognition with attention mechanism and gated convolutional networks
#43 | 2019-10-03Adaptive permutation invariant training with auxiliary information for monaural multi-talker speech recognition
#44 | 2019-10-03Knowledge transfer in permutation invariant training for single-channel multi-talker speech recognition
#45 | 2019-06-27Permutation invariant training for talker-independent multi-talker speech separation
#46 | 2018-09-06Multi-talker speech recognizer
#47 | 2018-05-03HYPERPARAMETER TUNING
#48 | 2018-03-01Deep Embedding Forest: Forest-based Serving with Deep Embedding Features
#49 | 2017-11-23Permutation invariant training for talker-independent multi-talker speech separation
#50 | 2017-10-26Computing system for training neural networks
#51 | 2017-08-17Automated predictive modeling and framework
#52 | 2017-06-22Multi-speaker speech separation
#53 | 2017-04-20Mixed speech recognition
#54 | 2016-09-29Mixed speech recognition
#55 | 2016-05-19Prediction-based sequence recognition
#56 | 2016-01-28Discriminative pretraining of deep neural networks
#57 | 2015-09-24Mixed speech recognition
#58 | 2015-09-10Low-footprint adaptation and personalization for a deep neural network
#59 | 2014-09-11Multilingual deep neural network
#60 | 2014-09-11Exploiting heterogeneous data in deep neural network-based speech recognition systems
#61 | 2014-09-11Conservatively adapting a deep neural network in a recognition system
#62 | 2014-05-22Deep neural networks training for speech and pattern recognition
#63 | 2014-03-06Computer-implemented deep tensor neural network
#64 | 2013-08-15Tensor deep stacked neural network
#65 | 2013-05-30Exploiting sparseness in training deep neural networks
#66 | 2013-05-30Discriminative pretraining of deep neural networks
#67 | 2012-11-29Learning processes for single hidden layer neural networks with linear output units
393680 ⎘