| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Interspeech review
- AI primary education design
- <Illustraitver AI> slides refinement
|
|
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| Lantian Li
|
- GPU status [1]
- Projects (POC of Cough/Humming detection, TSE proposal)
- ASIP-BUPT (NeuralScoring, CohortTSE)
- AI Course Polish
- BlockChain Course
|
|
|
| Ying Shi
|
- Finish SPL paper version1
- Wake Up model test with real speech
- Chinese Phrase-Guided ASR model test with real speech group work
|
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|
| Zhenghai You
|
- Retrain a SpEx+ model more suitable for online
- Reflect on cohort and reorganized document
- paper reading
|
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| Junming Yuan
|
- prepare materials of live broadcast
- paper reading
- got sick
|
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| Chen Chen
|
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| Xiaolou Li
|
- Experiment [2]
- Resnet3D + Branchformer
- E-Branchformer V2
- Mamba
- Paper Reading
- VSR in ICASSP2024
- Mamba and related paper
|
- Continue to fix the bug of e branchformer
- fix the bug of mamba encoder
- paper reading
|
|
| Zehua Liu
|
- auxiliary loss exp[3]
- crop_size exp(still training)
- read papper
|
- reproduce other architecture
|
|
| Pengqi Li
|
- speech XAI review v1[4]
- polished poster
- live broadcast
|
|
|
| Wan Lin
|
|
- Explore multi-speaker training in NS (how to get batter result in all condition)
- use wespeaker toolkit
- effect of time of training sample
- inherit hard speaker sample
- add channel-time attention in ResNet to get enroll-aware test feature
|
|
| Tianhao Wang
|
- EA-ASP exps
- aligned toolkit (wespeaker To sunine), failed. we will align to wespeaker
- aligned training data (weak overlap To strong overlap)
- concat and weak_overlap worse, overlap and mix better compared to previous
- NS arch. has advantages under mix, but non under other tests compared to EA-ASP
|
- read paper
- reproduce SpEx+ in TSV
|
|
| Zhenyu Zhou
|
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| Junhui Chen
|
- Neural Scoring result [5]
|
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|
| Jiaying Wang
|
- re-organized document 0025[6]
- SS_based: Conv-Tasnet with one fixed cohort(still training)[7]
- paper reading
|
|
|
| Yu Zhang
|
- SAC model training and backtesting [8]
- financial quantile work pipeline finish
|
- add more data to pipeline (more benchmark and more training testing data range)
- append financial-pipeline design and implement detail doc
- AutoML for stock return regression
|
|
| Wenqiang Du
|
- Efficient-B6 pretrain model training
- hard negative training
- FA data is being collected
|
|
|
| Yang Wei
|
- Children mispronunciation detection
- Analyze and check the baseline model
- Huilan
- ASR service bug fix and update
|
|
|
| Lily
|
- Paper reading [9]
- Assisted to prepare AI graph course materials
- Prepare for AI radiance live broadcast
|
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|
| Turi
|
- Data collection App[11]
- Tested the app and Fixed some bugs
|
|
|
| Qi Qu
|
- Server-side KWS:
- Tested with EfficientNetB{2,4,6,8}
- Service to be implemented with EfficientNetB6 (preview)
|
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|
| Yue Gu
|
- The most experiments of contextual ASR
- The pseudocodes of group stage and bias-phrase decoding lattice
- Read one paper
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