On: Show HN: Neural text to speech with dozens of cele...

[echelon]

glow-tts:

    total 4.2G
    -rw-r--r-- 1 bt bt 110M glow-tts_alan-rickman_ljstx_2020.07.22_expr-1_chkpt-4765.torchjit
    -rw-r--r-- 1 bt bt 110M glow-tts_anderson_cooper_ljstx_2020.07.21_expr-1_chkpt-6622.torchjit
    -rw-r--r-- 1 bt bt 110M glow-tts_arnold_schwarzenegger_ljstx_2020.07.16_expr-2_chkpt-9045.torchjit
    -rw-r--r-- 1 bt bt 110M glow-tts_barack_obama_ljstx_2020.06.28_expr-1_chkpt-1729.torchjit
    -rw-r--r-- 1 bt bt 110M glow-tts_ben-stein_ljstx_2020.07.21_expr-1_chkpt-7516.torchjit
    -rw-r--r-- 1 bt bt 110M glow-tts_betty_white_ljstx_2020.06.28_expr-1_chkpt-1666.torchjit
    ...

melgan:

    -rw-r--r-- 1 bt bt 17M melgan_manyvoice5.0_2020-07-23_12d5838_10760.torchjit
 

(All the voices use the same melgan, or derivations of it.)

I'll edit my post later with my deployment and cluster architecture. In short, it's sharded and proxied from a thin microservice at the top of the stack. I'll probably introduce a job queue soon.