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Update PUBLICATIONS.md #5963

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Feb 10, 2023
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Update PUBLICATIONS.md #5963

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c91855e
Add papers from 2022/2022 to PUBLICATIONS.md
titu1994 Feb 8, 2023
acd7541
Remove ipynb from being tracked as for nemo code library
titu1994 Feb 8, 2023
9c1133a
Remove ipynb from being tracked as for nemo code library
titu1994 Feb 8, 2023
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Add additional papers
titu1994 Feb 8, 2023
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4 changes: 4 additions & 0 deletions .gitignore
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Expand Up @@ -94,6 +94,10 @@ target/
# Jupyter Notebook
.ipynb_checkpoints

# Override Jupyter in Github Language states for more accurate estimate of repo code.
# Reference: https://github.com/github/linguist/blob/master/docs/overrides.md#generated-code
*.ipynb linguist-generated
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# IPython
profile_default/
ipython_config.py
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28 changes: 26 additions & 2 deletions PUBLICATIONS.md
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Expand Up @@ -6,6 +6,22 @@ Here, we list a collection of research articles that utilize the NeMo Toolkit. I

# Automatic Speech Recognition (ASR)

<details>
<summary>2023</summary>

* [Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition](https://ieeexplore.ieee.org/abstract/document/10022960)
* [Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition](https://ieeexplore.ieee.org/abstract/document/10023219)

</details>

<details>
<summary>2022</summary>

* [Multi-blank Transducers for Speech Recognition](https://arxiv.org/abs/2211.03541)
* [Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models](https://arxiv.org/abs/2211.05103)

</details>

<details>
<summary>2021</summary>

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## Speaker Recognition (SpkR)

<details>
<summary>2021</summary>
<summary>2022</summary>

* [TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context]( https://arxiv.org/pdf/2110.04410.pdf)
* [TitaNet: Neural Model for Speaker Representation with 1D Depth-Wise Separable Convolutions and Global Context](https://ieeexplore.ieee.org/abstract/document/9746806)

</details>

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# Text To Speech (TTS)

<details>
<summary>2022</summary>

* [Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers](https://arxiv.org/abs/2211.00585)

</details>

<details>
<summary>2021</summary>

Expand All @@ -140,6 +163,7 @@ Here, we list a collection of research articles that utilize the NeMo Toolkit. I
<summary>2022</summary>

* [Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization](https://arxiv.org/abs/2203.15917)
* [Thutmose Tagger: Single-pass neural model for Inverse Text Normalization](https://arxiv.org/abs/2208.00064)

</details>

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