Awesome AI for Code
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Liang Lu — most-cited papers & profile · AI for Code
← authors
·
overview
Liang Lu
31
papers ·
457
citations ·
25
h-index
Kunming University of Science and Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Continuous speech separation: dataset and analysis
2020 · 215 citations
Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
2021 · 43 citations
Segmental Recurrent Neural Networks for End-to-end Speech Recognition
2016 · 42 citations
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition
2020 · 35 citations
Semantic Mask for Transformer based End-to-End Speech Recognition
2019 · 24 citations
Low Latency End-to-End Streaming Speech Recognition with a Scout Network
2020 · 22 citations
PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch
2019 · 17 citations
Exploring Transformers for Large-Scale Speech Recognition
2020 · 15 citations
Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition
2021 · 14 citations
Multitask Learning with CTC and Segmental CRF for Speech Recognition
2017 · 11 citations
Toward Computation and Memory Efficient Neural Network Acoustic Models with Binary Weights and Activations
2017 · 4 citations
A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models
2019 · 4 citations
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition
2017 · 3 citations
Knowledge Distillation for Small-footprint Highway Networks
2016 · 2 citations
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR
2020 · 2 citations
Topics
Speech Recognition
Speech Translation
Text-to-Speech
Audio Understanding
Speaker Analysis
Code
Efficiency
Fine-Tuning
Prompting
Evaluation