• Chinese Pipeline
• Using Singularity to create portable applications

• Red Hen Lab github repository: ASR for Chinese Pipeline (master)
• Suwei Xu's github repository (development of the ASR for Chinese Pipeline, Google Summer of Code 2018) -- blog 
• Zhaoqing Xu's github repository (a fork of the master) -- blog 
• A PaddlePaddle implementation of DeepSpeech2 architecture for ASR
• THCHS-30（A Free Chinese Speech Corpus Released by CSLT@Tsinghua University）
• DeepSpeech (A TensorFlow implementation of Baidu's DeepSpeech architecture)
• Battenberg et al. (2017). Exploring Neural Transducers for End-to-End Speech Recognition. (arXiv; writeup as DeepSpeech3)
• Music removal by convolutional denoising autoencoder in speech recognition
• VAD (voice activity detection, used to cut audio between sentences) -- python interface to the WebRTC VAD
• Diarization: https://arxiv.org/pdf/1810.04719.pdf
• Kur: Descriptive Deep Learning (blog)
• wav2letter++

Red Hen has a pipeline in production at the Case HPC that runs Chinese ASR using Baidu's DeepSpeech2 with PaddlePaddle inside a Singularity container built on Singularity Hub from a recipe. It starts with this command:

singularity exec -e --nv ../Chinese_Pipeline.simg bash infer.sh $DAY

In the Slurm job submission, it requests a GPU:

#SBATCH -p gpu -C gpuk40 --mem=100gb --gres=gpu:2 

abc123@server:~/cp$ squeue -u abc123
             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)
          12267389       gpu work.slu   abc123 PD       0:00      1 (Priority)
          12267373       gpu work.slu   abc123  R      27:51      1 gput025
          12267379       gpu work.slu   abc123  R      15:41      1 gput026

It takes about four minutes to run ASR on a standard one-hour recording.