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第74行: |
第74行: |
| |Chen Chen | | |Chen Chen |
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− | * | + | * read papers |
| + | * vii group [https://z1et6d3xtb.feishu.cn/docx/CNzFdnE0toiDtDxNkq2cetngndf?from=from_copylink] |
| + | ** Structure have good news |
| + | ** Strategy need to be checked |
| + | ** Data collection need more effort |
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| * | | * |
第122行: |
第126行: |
| |Wan Lin | | |Wan Lin |
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− | * | + | * Graduation paper revision (already submitted) |
| + | * NS |
| + | ** transfer to wespeaker-toolkit(fix bug) |
| + | ** all-pairs training & mix training |
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| * | | * |
第248行: |
第255行: |
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| * | | * |
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| + | * |
| + | |- |
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| + | |- |
| + | |Qi Qu |
| + | || |
| + | * Web service: |
| + | ** EfficientNetB6-based KWS |
| + | * KWS model training: |
| + | ** FA collected and processed (~40k) |
| + | ** Appended to training dataset |
| + | * Other: |
| + | ** FunASR w/ hotwords enabled as cloud verification |
| + | || |
| + | * Test: |
| + | ** KWS models: B0/B6; alone and combined as two-phased processing |
| + | ** KWS model + FunASR w/ hotwords |
| + | ** Different trigger strategies |
| + | * KWS model training: |
| + | ** Collect FA in large scale |
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| |- | | |- |
People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
Dong Wang
|
- NSFC XAI proposal
- AI Graph PPT recheck
- Course preparation
|
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Lantian Li
|
- GPU status [1]
- Projects (AED delivery, TSE plan)
- ASIP-BUPT (NeuralScoring, CohortSS)
- Welcome to Rabbit04
- BlockChain Course
|
|
|
Ying Shi
|
- Finish SPL paper
- Discuss about next DI-TING
- Restart Cohort ASR
- group work
|
|
|
Zhenghai You
|
- Paper reading report
- Prepare extreme data for Huawei project( Crawling Chinese karaoke song, then mixed with rock, punk music data as TSE task's noise )
|
|
|
Junming Yuan
|
- Paper reading report prepared
- FA data analysis[2]
- AI Graph slides refinement
- NSFC check
|
|
|
Chen Chen
|
- read papers
- vii group [3]
- Structure have good news
- Strategy need to be checked
- Data collection need more effort
|
|
|
Xiaolou Li
|
- Experiment on E-Branchformer and Resnet3D + E-Branchformer(last exp on this)
- Paper Reading
|
|
|
Zehua Liu
|
- papper reading
- cropsize exp
- AKVSR code(still doing)
|
|
|
Pengqi Li
|
- ICASSP papers reading[4]
- Start Experiment(PID) on Timit(Extend workshop paper)
|
- Leave of Absence(Family matters)
|
|
Wan Lin
|
- Graduation paper revision (already submitted)
- NS
- transfer to wespeaker-toolkit(fix bug)
- all-pairs training & mix training
|
|
|
Tianhao Wang
|
- EA-ASP exps [5]
- target and nontarget training data ratio (1:1 to 2:8)
- totally mix training data
- spex+ code modification
|
|
|
Zhenyu Zhou
|
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|
Junhui Chen
|
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Jiaying Wang
|
- cohort gender-aware verification
- need regenerate training, validation and test data
|
|
|
Yu Zhang
|
- AutoML
- learners: [xgboost lgbm xgb_limitdepth rf]
- use last 30 days metrics to predict the return value
- RL continuous learning related paper reading
|
|
|
Wenqiang Du
|
- EfficientNet-B6 kws model has been trained[6]
- Large hard negative data collection has been complete 60%
- (about 5000h collect 5000 FA)
|
|
|
Yang Wei
|
- Evaluate mispronunciation detection system with detection cost function
- Try to estimate best DCF threshold without test set
|
|
|
Lily
|
- Overview for thesis
- AIgraph100 course material
|
|
|
Turi
|
- Started ASR Data Collection
- Course work
|
|
|
Yue Gu
|
- Parallel lattice construction
- Method reproduction, a work in ICASSP2024 related to my contextual ASR
- Paper reading (50%)
|
|
|
Qi Qu
|
- Web service:
- KWS model training:
- FA collected and processed (~40k)
- Appended to training dataset
- Other:
- FunASR w/ hotwords enabled as cloud verification
|
- Test:
- KWS models: B0/B6; alone and combined as two-phased processing
- KWS model + FunASR w/ hotwords
- Different trigger strategies
- KWS model training:
- Collect FA in large scale
|
|