diff --git a/_pages/members.md b/_pages/members.md index 2b932a8e..33817f0e 100644 --- a/_pages/members.md +++ b/_pages/members.md @@ -389,6 +389,13 @@ order: 1
+
+ + +
+
+ Chenda Li +
diff --git a/_posts/2022-01-01-psc-usage.md b/_posts/2022-01-01-psc-usage.md index 061e2b2c..c50cee86 100644 --- a/_posts/2022-01-01-psc-usage.md +++ b/_posts/2022-01-01-psc-usage.md @@ -6,33 +6,58 @@ description: PSC cluster usage. comments: false --- -# Misc. resources - - - - - - - - - - - - - - - - - - - - - - - - - -
PSC(Bridges-2)
User Guidehttps://www.psc.edu/resources/bridges-2/user-guide-2/
Connect from browserhttps://ondemand.bridges2.psc.edu/
ESPnet installation guidehttps://espnet.github.io/espnet/installation.html
Step-by-step guide with pictureshttps://granite-echidna-ff2.notion.site/Access-for-PSC-07c3d4c05b54426895e3ddc87276e4b5
+## Step by step starting towards successful ssh login +- Look for guide with some screenshots above + +1. Create an account for [ACCESS](https://identity.access-ci.org/new-user) + - This account is used for both PSC and Delta + - When you create, [Register with an existing identity](https://identity.access-ci.org/new-user-federated). Don't do Register without an existing identity. + +2. Send the username to allocation managers (e.g. Xuankai) to add the user in our group. + - After this step is done, you should be able to see `list of resources` at https://allocations.access-ci.org/allocations/summary + +3. Initialise your PSC password (used for ssh login) + - Go to https://www.psc.edu/resources/bridges-2/user-guide-2-2/ and click `PSC Password Change Utility` + - **It may take few hours** for your `username` and `email` to be recognised, even if they're correct. + +4. Access via ssh + - ssh [username]@[resource_dir] + - E.g., `jjung1@bridges2.psc.edu` + - Use the password you initialised in step 3. + +# Important +1. `Home` directory is of limited space. Please do most of your work in ocean storage (`$ cd ${PROJECT}`) +2. When you publish a paper, please **acknowledge the PSC and ACCESS**. We will get benefit when we apply for PSC credits next time. + * [Acknowledgement webpage](https://access-ci.org/about/acknowledging-access/) + * Example: Experiments of this work used the Bridges2 system at PSC through allocations CIS210014 and IRI120008P from the Advanced Cyberinfrastructure Coordination Ecosystem: Services \& Support (ACCESS) program, supported by National Science Foundation grants \#2138259,\#tel:2138286, \#tel:2138307, \#tel:2137603, and \#tel:2138296. +
+ Add the following references + + ``` + @ARTICLE{xsede, + author = {J. Towns and T. Cockerill and M. Dahan and I. Foster and K. Gaither and A. Grimshaw and V. Hazlewood and S. Lathrop and D. Lifka and G. D. Peterson and R. Roskies and J. R. Scott and N. Wilkins-Diehr}, + journal = {Computing in Science \& Engineering}, + title = {XSEDE: Accelerating Scientific Discovery}, + year = {2014}, + volume = {16}, + number = {5}, + pages = {62-74}, + keywords={Knowledge discovery;Scientific computing;Digital systems;Materials engineering;Supercomputers}, + doi = {10.1109/MCSE.2014.80}, + url = {doi.ieeecomputersociety.org/10.1109/MCSE.2014.80}, + ISSN = {1521-9615}, + month={Sept.-Oct.} + } + @inproceedings{nystrom2015bridges, + title={Bridges: a uniquely flexible HPC resource for new communities and data analytics}, + author={Nystrom, Nicholas A and Levine, Michael J and Roskies, Ralph Z and Scott, J Ray}, + booktitle={Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure}, + pages={1--8}, + year={2015} + } + ``` +
+ # Summary of PSC usage and the partitions * Both PSC have limited service units (SUs) for resource availability. @@ -64,24 +89,35 @@ comments: false -## Step by step starting towards successful ssh login -- Look for guide with some screenshots above - -1. Create an account for [ACCESS](https://identity.access-ci.org/new-user) - - This account is used for both PSC and Delta - - When you create, [Register with an existing identity](https://identity.access-ci.org/new-user-federated). Don't do Register without an existing identity. - -2. Send the username to allocation managers (e.g. Xuankai) to add the user in our group. - - After this step is done, you should be able to see `list of resources` at https://allocations.access-ci.org/allocations/summary -3. Initialise your PSC password (used for ssh login) - - Go to https://www.psc.edu/resources/bridges-2/user-guide-2-2/ and click `PSC Password Change Utility` - - **It may take few hours** for your `username` and `email` to be recognised, even if they're correct. +## Misc. resources + + + + + + + + + + + + + + + + + + + + + + + + + +
PSC(Bridges-2)
User Guidehttps://www.psc.edu/resources/bridges-2/user-guide-2/
Connect from browserhttps://ondemand.bridges2.psc.edu/
ESPnet installation guidehttps://espnet.github.io/espnet/installation.html
Step-by-step guide with pictureshttps://granite-echidna-ff2.notion.site/Access-for-PSC-07c3d4c05b54426895e3ddc87276e4b5
-4. Access via ssh - - ssh [username]@[resource_dir] - - E.g., `jjung1@bridges2.psc.edu` - - Use the password you initialised in step 3. ## GPU Partitions * In `GPU / GPU-shared` partitions, each node consists of 8 v100 GPU devices @@ -203,36 +239,6 @@ comments: false print(f"sbatch -p {machine_name}-shared {gpus} {cpus} -t {hours}:00:00") ``` -# Important -* `Home` directory is of limited space. Please do most of your work in ocean storage (`$ cd ${PROJECT}`) -* When you publish a paper, please acknowledge the PSC. We will get benefit when we apply for PSC credits next time. - * [Acknowledgement webpage](https://www.psc.edu/resources/bridges/acknowledgement-in-publications/) - * Example: This work used the Extreme Science and Engineering Discovery Environment (XSEDE) ~\cite{ecss}, which is supported by National Science Foundation grant number ACI-1548562. Specifically, it used the Bridges system ~\cite{nystrom2015bridges}, which is supported by NSF award number ACI-1445606, at the Pittsburgh Supercomputing Center (PSC). - -``` -@ARTICLE{xsede, -author = {J. Towns and T. Cockerill and M. Dahan and I. Foster and K. Gaither and A. Grimshaw and V. Hazlewood and S. Lathrop and D. Lifka and G. D. Peterson and R. Roskies and J. R. Scott and N. Wilkins-Diehr}, -journal = {Computing in Science \& Engineering}, -title = {XSEDE: Accelerating Scientific Discovery}, -year = {2014}, -volume = {16}, -number = {5}, -pages = {62-74}, -keywords={Knowledge discovery;Scientific computing;Digital systems;Materials engineering;Supercomputers}, -doi = {10.1109/MCSE.2014.80}, -url = {doi.ieeecomputersociety.org/10.1109/MCSE.2014.80}, -ISSN = {1521-9615}, -month={Sept.-Oct.} -} -@inproceedings{nystrom2015bridges, - title={Bridges: a uniquely flexible HPC resource for new communities and data analytics}, - author={Nystrom, Nicholas A and Levine, Michael J and Roskies, Ralph Z and Scott, J Ray}, - booktitle={Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure}, - pages={1--8}, - year={2015} -} -``` - # ESPnet installation steps 1. Miniconda installation ```bash diff --git a/_posts/2023-04-02-delta-usage.md b/_posts/2023-04-02-delta-usage.md index 3ffcb63e..7f929572 100644 --- a/_posts/2023-04-02-delta-usage.md +++ b/_posts/2023-04-02-delta-usage.md @@ -6,12 +6,22 @@ description: Delta cluster usage. comments: false --- -# Misc. resources +# Account creation +- Create an account for NCSA on [ACCESS](https://allocations.access-ci.org/) +- Send the username to allocation managers (e.g. Xuankai) to add the user in our group. + +## login +* Delta: check https://wiki.ncsa.illinois.edu/display/DSC/Delta+User+Guide#DeltaUserGuide-DirectAccesslogin_nodes -[General user guide for Delta](https://wiki.ncsa.illinois.edu/display/DSC/Delta+User+Guide) +# Important +1. `Home` directory is of limited space. Please do most of your work in ocean storage (`$ cd ${PROJECT}`) +2. When you publish a paper, please **acknowledge the Delta and ACCESS**. We will get benefit when we apply for Delta credits next time. + * [Acknowledgement webpage](https://access-ci.org/about/acknowledging-access/) + * Example: Experiments of this work used the Bridges2 system at PSC and Delta system at NCSA through allocations CIS210014 and IRI120008P from the Advanced Cyberinfrastructure Coordination Ecosystem: Services \& Support (ACCESS) program, supported by National Science Foundation grants \#2138259,\#tel:2138286, \#tel:2138307, \#tel:2137603, and \#tel:2138296. # Summary of NCSA usage and the partitions * NCSA has limited service units (SUs) for resource availability. +* [General user guide for Delta](https://wiki.ncsa.illinois.edu/display/DSC/Delta+User+Guide) * `sinfo` lists all the available partitions in NCSA and their status. @@ -40,13 +50,6 @@ comments: false
-## Account creation -- Create an account for NCSA on [ACCESS](https://allocations.access-ci.org/) -- Send the username to allocation managers (e.g. Xuankai) to add the user in our group. - -## login -* Delta: check https://wiki.ncsa.illinois.edu/display/DSC/Delta+User+Guide#DeltaUserGuide-DirectAccesslogin_nodes - ## Other usage * Submitting jobs with dependency * This can be used to submit a job which is expected to start run after some specific jobs finish. In many cases, training a model can take a few days. However, Delta has the restriction that each job can run for 2 days at most. In this case, we can start a job with dependency for long jobs. For example, you already start a job ID is 000001 and you want a following job right after it. You can submit jobs like: @@ -117,13 +120,6 @@ comments: false slurm-tool v|version Print versions of slurm-tool tool and slurm itself ``` -# Important -* `Home` directory is of limited space. Please do most of your work in ocean storage (`$ cd ${PROJECT}`) -* When you publish a paper, please acknowledge the Delta. We will get benefit when we apply for Delta credits next time. - * [Acknowledgement webpage](https://wiki.ncsa.illinois.edu/display/DSC/Delta+User+Guide#DeltaUserGuide-Acknowledge/) - * Example: This research is part of the Delta research computing project, which is supported by the National Science Foundation (award OCI 2005572), and the State of Illinois. Delta is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. - - # ESPnet installation steps ## ESPnet installation diff --git a/_posts/2024-01-19-Interspeech2024-Discrete-Speech-Unit-Challenge.md b/_posts/2024-01-19-Interspeech2024-Discrete-Speech-Unit-Challenge.md new file mode 100644 index 00000000..7e830272 --- /dev/null +++ b/_posts/2024-01-19-Interspeech2024-Discrete-Speech-Unit-Challenge.md @@ -0,0 +1,156 @@ +--- +layout: post +title: Interspeech2024 Speech Processing Using Discrete Speech Unit Challenge +description: This is the Interspeech2024 challenge website for speech processing using discrete speech unit challenge +date: 2024-01-19 09:00:00-0800 +comments: false +--- + + + +## Introduction + +In conventional speech processing approaches, models typically take either raw waveforms or high-dimensional features derived from these waveforms as input. For instance, spectral speech features continue to be widely employed, while learning-based deep neural network features have gained prominence in recent years. A promising alternative arises in the form of discrete speech representation, where speech signals within a temporal window can be represented by a single index $d$ within a range $K$: $d \in \{1, 2, \dots, K\}$. + +Three challenging tasks are proposed for using discrete speech representations. +1. Automatic speech recognition (ASR): We will evaluate the ASR performance of the proposed systems on the proposed data. +2. Text-to-speech (TTS): We will evaluate the quality of the generated speech. +3. Singing voice synthesis (SVS): We will evaluate the quality of the synthesized singing voice. + + +Participation is open to all. Each team can participate in any task. This challenge has preliminarily been accepted as a special session for Interspeech 2024, and participants are strongly encouraged to submit papers to the special session. The focus of the special session is to promote the adoption of discrete speech representations and encourages novel insights. + + + +## Resources + + +### Baseline systems & toolkits +- [Automatic speech recognition (ASR)](https://github.com/simpleoier/espnet/tree/is2024_dsu_asr2/egs2/interspeech2024_dsu_challenge/asr2) +- [Text-to-speech (TTS)](https://github.com/espnet/espnet/tree/tts2/egs2/ljspeech/tts2) +- [Singing voice synthesis (SVS)](https://github.com/A-Quarter-Mile/espnet/tree/tmp_muskit/egs2/opencpop/svs2) +- [Discrete vocoder training](https://github.com/kan-bayashi/ParallelWaveGAN) + +### Dataset + +- ASR: [Librispeech](https://www.openslr.org/12) and [ML-SUPERB](https://drive.google.com/file/d/1zslKQwadZaYWXAmfBCvlos9BVQ9k6PHT/view?usp=sharing) +- TTS: [LJSpeech](https://keithito.com/LJ-Speech-Dataset/) and [Expresso](https://speechbot.github.io/expresso/) +- SVS: [Opencpop](https://wenet.org.cn/opencpop/) + + + + +## Detailed tracks and rules + +### ASR Challenge + +* Data: LibriSpeech_100 + ML-SUPERBB 1h set +* Framework: We recommend to use ESPnet for fair comparison. Feel free to let us know your preferrence. +* Evaluation metrics: Word Error Rates (WERs) on 5 test sets. +* Submission + * Submission package details: + 1. The discrete speech units corresponding to the test sets in kaldi format. + 2. The predicted transcription corresponding to the test sets. + 3. A technical report in Interspeech2024 paper format (no length limit) + +### TTS Challenge - Acoustic+Vocoder + +* Data: LJSpeech, following the train-dev-test split in [here](https://github.com/ftshijt/Interspeech2024_DiscreteSpeechChallenge). +* Framework: No framework restriction in TTS-Acoustic+Vocoder challenge, but the organizers have prepared the baseline training scripts (baseline model to be released soon) in [ESPnet](https://github.com/espnet/espnet/tree/tts2/egs2/ljspeech/tts2). +* Evaluation metrics: Mean cepstral distortion, F0 root mean square error, Bitrate, [UTMOS](https://github.com/sarulab-speech/UTMOS22/tree/master) +* Submission + * Submission package details: + * The synthesized voice of LJSpeech test set using full training set (with at least 16kHz). + * The synthesized voice of LJSpeech test set using 1-hour training set (with at least 16kHz). + * The discrete representation corresponding to the test set + * A technical report in Interspeech2024 paper format (no length limit) + * Notes: + * We encourage participants to additional contrast results in addition to their primary submission. However, due to the budget, we cannot gaurantee those all submitted results will be evaluated in the subjective metric. + * More details about the submission process will be updated later. + + +### TTS Challenge - Vocoder + +* Data: Expresso, following the train-dev-test split in [here](https://github.com/ftshijt/Interspeech2024_DiscreteSpeechChallenge) (Note that this is different from the original train-dev-test split in the benchmark paper). +* Framework: No framework restriction in TTS-Vocoder challenge, but the organizers have prepared the baseline training scripts (baseline model to be released soon) in [ESPnet](https://github.com/espnet/espnet/tree/tts2/egs2/ljspeech/tts2) and [ParallelWaveGAN](https://github.com/kan-bayashi/ParallelWaveGAN). +* Evaluation metrics: Mean cepstral distortion, F0 root mean square error, Bitrate, [UTMOS](https://github.com/sarulab-speech/UTMOS22/tree/master) +* Submission + * Submission package details: + * The synthesized voice of LJSpeech test set using full training set (with at least 16kHz). + * The discrete representation corresponding to the test set + * A technical report in Interspeech2024 paper format (no length limit) + * Notes: + * We encourage participants to additional contrast results in addition to their primary submission. However, due to the budget, we cannot gaurantee those all submitted results will be evaluated in the subjective metric. + * More details about the submission process will be updated later. + + +### SVS Challenge + +* Data: Opencpop, following the original segmentation and train/test split. +* Framework: No framework restriction in SVS challenge, but the organizers have prepared the baseline training scripts (baseline model to be released soon) in [ESPnet-Muskits](https://github.com/A-Quarter-Mile/espnet/tree/tmp_muskit/egs2/opencpop/svs2). +* Evaluation metrics + * Objective metrics: Mean cepstral distortion, F0 root mean square error, Bitrate for efficiency measure + * Subjective metrics: Mean Opinion Score by organizers +* Submission + * Submission package details: + * The synthesized voice of Opencpop test set (with at least 16kHz) + * The discrete representation corresponding to the test set + * A technical report in Interspeech2024 paper format (no length limit) + * Notes: + * We encourage participants to additional contrast results in addition to their primary submission. However, due to the budget, we cannot gaurantee those all submitted results will be evaluated in the subjective metric. + * More details about the submission process will be updated later. + + +### Research in discrete representation of speech and audio + +* Call for research papers: As a special session, the track also accepts research papers in discrete representation of speech and audio. The paper could be related to any of the following topics: + * Discrete speech/audio/music representation learning + * Discrete representation application for any speech/audio processing downstream tasks (ASR, TTS, etc.) + * Evaluation of speech/audio discrete representation + * Efficient discrete speech/audio discrete representation + * Interpretability in discrete speech/audio discrete representation + * Other novel usage of discrete representation in speech/audio +* Please refer to the "Paper submission" section for detail guidance of paper submission. + + +## Paper submission + +Papers for Interspeech Special Session have to be submitted following the same schedule and procedure as regular papers of [INTERSPEECH 2024](https://interspeech2024.org/). The submitted papers will undergo the same review process by anonymous and independent reviewers. + +Submission URL : (TBA) + + + +## Important dates +The schedule for the challenge is as follows +* Feb 20, 2024: Leaderboard is online and accepting submissions +* Mar 2, 2024: Paper Submission Deadline +* Mar 9, 2024: Paper Revision Deadline +* After Mar. 9: Leaderboard will still be open and new submissions will be evaluated + + + +## Organizers + +* Xuankai Chang (Carnegie Mellon University, U.S.) +* Jiatong Shi (Carnegie Mellon University, U.S.) +* Shinji Watanabe (Carnegie Mellon University, U.S.) +* Yossi Adi (Hebrew University, Israel) +* Xie Chen (Shanghai Jiao Tong University, China) +* Qin Jin (Renmin University of China, China) + +## Contact +- discrete_speech_challenge@googlegroups.com \ No newline at end of file diff --git a/_site/index.html b/_site/index.html index cf26e26b..d94cd699 100644 --- a/_site/index.html +++ b/_site/index.html @@ -2425,7 +2425,7 @@

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