A 2019 Guide for Automatic Speech Recognition

Post by skykooler » Wed, Sep 04, 2019, 5:27 PM UTC

jamesonthecrow wrote: post #8

skykooler wrote: post #4

So how can one actually use one of these systems? I'm familiar with pocketsphinx, where you download it and then run procketsphinx_continuous and it prints a transcription of the microphone. Or Julius, where you write a grammar and run it with that and it prints the output. The process for DeepSpeech seems to be along the lines of "get access to a machine with ten GPUs, find a huge dataset, train it, and then run tha…

Obviously the big cloud players offer their own APIs and SDKs (for a price), but there are a few other solutions worth looking at. Facebook has open sourced some pre-trained models: https://github.com/facebookresearch/wav2letter Picovoice has some smaller, more efficient models capable of running on edge devices: https://github.com/Picovoice Full ASR does require quite large models and datasets, but you don't need ne…

Post by GordonS » Wed, Sep 04, 2019, 5:31 PM UTC

priansh wrote: post #9

gok wrote: post #5

I'm a little confused about the title because the first paper is from 2014. It's also too bad this doesn't mention any traditional HMM-based ASR techniques, as HMMs continue to be used on many SOTA systems, particularly those that can be reproduced publicly: https://github.com/syhw/wer_are_we

This. The article quotes DeepSpeech, wavenets, LSTMs of all sorts; essentially, all the neural networks that scale terribly. DeepSpeech for example is pretty heavy and requires a decent GPU to get anywhere near a realtime factor of 1. Meanwhile ASR through HMM's consistently hits realtime factors sub-1 and can run on small CPUs. e.g. the default models Kaldi ships with outperform DeepSpeech on a lot of modern example…

Post by wes-k » Wed, Sep 04, 2019, 5:34 PM UTC

GordonS wrote: post #12

Are there any good quality OSS speech recognition libraries that are easy to get started with, or is it still so complex/expensive that this is a fantasy? I really love the idea of hacking something together for development so I don't need to use my arms and hands so much, or could lessen my mouse use (for accessibility reasons), but I don't know how realistic that is. Edit: I looked into cloud-based ASR, such as tha…

Post by msluyter » Wed, Sep 04, 2019, 5:46 PM UTC

GordonS wrote: post #12

Are there any good quality OSS speech recognition libraries that are easy to get started with, or is it still so complex/expensive that this is a fantasy? I really love the idea of hacking something together for development so I don't need to use my arms and hands so much, or could lessen my mouse use (for accessibility reasons), but I don't know how realistic that is. Edit: I looked into cloud-based ASR, such as tha…

Post by harperlee » Wed, Sep 04, 2019, 6:06 PM UTC

GordonS wrote: post #12

Are there any good quality OSS speech recognition libraries that are easy to get started with, or is it still so complex/expensive that this is a fantasy? I really love the idea of hacking something together for development so I don't need to use my arms and hands so much, or could lessen my mouse use (for accessibility reasons), but I don't know how realistic that is. Edit: I looked into cloud-based ASR, such as tha…