Josh Meyer (@JRMeyer)
  • Stars
    star
    338
  • Global Rank 80,835 (Top 3 %)
  • Followers 406
  • Following 240
  • Registered over 10 years ago
  • Most used languages
    Python
    41.2 %
    Shell
    23.5 %
    TeX
    17.6 %
    Gnuplot
    5.9 %
    Cycript
    5.9 %
    CSS
    5.9 %
  • Location 🇺🇸 United States
  • Country Total Rank 19,828
  • Country Ranking
    Cycript
    6
    Gnuplot
    61
    Shell
    1,350
    TeX
    2,947

Top repositories

1

easy-kaldi

Use your data to create a speech recognition system in Kaldi. Fast.
Shell
64
star
2

markdown-datasheet-for-datasets

Markdown template for Dataseets for Datasets
57
star
3

multi-task-kaldi

An example directory for running Multi-Task Learning training on Kaldi neural networks. In Kaldi-speak, this is an egs dir for nnet3 training.
Shell
53
star
4

tensorflow-tutorial

Code for email classification in TensorFlow.
Python
51
star
5

common-voice-forced-alignments

Forced Alignments for Common Voice
26
star
6

speakerID-challenge

A recipe for creating a Speaker Identification system built on Kaldi.
Shell
15
star
7

common-voice-stats

A living document for all things Common Voice.
14
star
8

jphones

A Python3 program for converting Japanese words and numbers into phonemes.
Python
13
star
9

kaldi-tf

Scripts for exporting Kaldi labeled data into TensorFlow
Python
12
star
10

nnet2-simple

A set of scripts for running the bare bones of Kaldi's nnet2.
Shell
7
star
11

jrmeyer.github.io

A site for things
CSS
3
star
12

web-corpus

Tool for scraping text from websites
Python
3
star
13

alphabets

Cycript
2
star
14

mlslp

My submission to the 2018 Machine Learning in Speech and Language Processing Workshop
TeX
1
star
15

defense

Gnuplot
1
star
16

ljspeech-text

Text from the LJSpeech Corpus
1
star
17

librivox

1
star
18

twitter

Python
1
star
19

conferences

list of conferences for ASR research
1
star
20

basic-latex-template

A super simple LaTeX template for little everyday things
TeX
1
star
21

covid-kws

1
star
22

interspeech-2018

I submitted this paper to Interspeech 2018. The paper was not accepted. The reviewer comments are included in the repo.
TeX
1
star
23

manas

Python
1
star
24

machine_learning

Some small scripts for playing with and vizualizing neural nets and Gaussians.
Python
1
star