planet earth

Josh Meyer

Elite
@JRMeyer

voice & AI

easy-kaldi. Use your data to create a speech recognition system in Kaldi. Fast.

65

markdown-datasheet-for-datasets. Markdown template for Dataseets for Datasets

64

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.

55

tensorflow-tutorial. Code for email classification in TensorFlow.

52

common-voice-forced-alignments. Forced Alignments for Common Voice

33

jphones. A Python3 program for converting Japanese words and numbers into phonemes.

18

speakerID-challenge. A recipe for creating a Speaker Identification system built on Kaldi.

15

common-voice-stats. A living document for all things Common Voice.

14

kaldi-tf. Scripts for exporting Kaldi labeled data into TensorFlow

12

nnet2-simple. A set of scripts for running the bare bones of Kaldi's nnet2.

7

jrmeyer.github.io. A site for things

5

awesome-audio-foundation-models.

5

cv. Joshua's CV in LaTeX

4

web-corpus. Tool for scraping text from websites

4

arxiv-sanity-lite. arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

3

TTS. Deep learning for Text to Speech

2

alphabets. Cycript

2

ftyers.github.io. HTML

2

vowel-synthesizer. MATLAB

1

interspeech-2018. I submitted this paper to Interspeech 2018. The paper was not accepted. The reviewer comments are included in the repo.

1

defense. Gnuplot

1

manas. Python

1

basic-latex-template. A super simple LaTeX template for little everyday things

1

flatten-git-repo. Turn a git repo into a flat dir of files while preserving structure. Useful to feed into LLM context window

1

xtts-streaming-server. Python

1

ljspeech-text. Text from the LJSpeech Corpus

1

conferences. list of conferences for ASR research

1

mlslp. My submission to the 2018 Machine Learning in Speech and Language Processing Workshop

1

open-funding. A guide for researching ways of funding open source projects.

1

twitter. Python

1

librivox.

1

covid-kws.

1

machine_learning. Some small scripts for playing with and vizualizing neural nets and Gaussians.

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