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| | |Pengqi Li | | |Pengqi Li |
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| − | * Review of speech processing XAI for NSFC | + | * summary[https://z1et6d3xtb.feishu.cn/sheets/TISnsS8omhWfOstgoxocGNOFnrd] of speech processing XAI for NSFC |
| | ** download 160+ papers(113 about speech processing XAI; Traditional XAI method; review) | | ** download 160+ papers(113 about speech processing XAI; Traditional XAI method; review) |
| | ** Summarize them using LLM and categorize by speech processing task. | | ** Summarize them using LLM and categorize by speech processing task. |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- Design learn not to listen, to reduce false alarms for KWS [1]
- Design AI courses for primary and middle schools
- Finaly review of NeuralMag paper [2]
- Rebutal for IJCAI paper [3]
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| Lantian Li
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| Ying Shi
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- Experimental Result for SPL Paper: Phrase Guided End-to-End Target Sentence Extraction from Overlapping Speech
- Data Preparation
- Chinese Overlap ASR model
- Detect wake-up words from Continuous speech
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- Finish draft for SPL paper
- Finish model training
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| Zhenghai You
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- A matching encoder experiment in cohort[4]
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| Junming Yuan
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- Experimental report on "learn not to listen"[5]
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| Chen Chen
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- entropy analysis
- group work [6]
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| Xiaolou Li
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- Reproduce different structure
- Baseline training with less data
- Code write and debug
- ResNet3D, Branchformer, E-Branchformer, interCTC
- Paper Reading: Some VSR paper in ICASSP2024
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- Experiment in different structure
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| Zehua Liu
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- ASR training for model distillation
- Paper Reading
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| Pengqi Li
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- summary[7] of speech processing XAI for NSFC
- download 160+ papers(113 about speech processing XAI; Traditional XAI method; review)
- Summarize them using LLM and categorize by speech processing task.
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| Wan Lin
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| Tianhao Wang
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- Neural scoring docs and codes reviewing
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| Zhenyu Zhou
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- Neural scoring docs and codes reviewing
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| Junhui Chen
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- Neural scoring: mix/overlap/concat test
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| Jiaying Wang
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- one cohort distance test(The probability of selecting the source closer to the cohort as the target during testing)
- the rate is still around 0.5
- speakerbeam with no enroll/cohort + minimal loss training
- double-check done
- still training, but seem to converge at val_loss around -3
- confused
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| Yu Zhang
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- Financial Backtest indicators check
- Jun Wang R2 SAC codes and papers reading
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- Reproduce R2 SAC and FinRL policy
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| Wenqiang Du
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- update CN KWS model for AIbabel
- Using real environment and FA data to update the model
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| Yang Wei
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- Prepare for children mispronunciation detection and diagnosis base model
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| Lily
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- Paper reading and prepare for journal paper
- Data annotation (for perception)
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| Turi
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- Data Collection App Backend [9]
- User authentication
- Data storage
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