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31 Open 59 Closed
31 Open 59 Closed
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Issues list

Download page not available
#121 opened Oct 31, 2023 by AnjaRy
Binaries are no longer available
#120 opened Jun 12, 2022 by pguyot
1
Using Language Models to decode.
#119 opened Dec 6, 2021 by IanMGriff
Change language - Zamia
#118 opened Oct 4, 2021 by Ascendina
2
Install Zamia-speech English nnet3-chain model on Ubuntu
#117 opened Jul 20, 2021 by pengcheng-tech
Speech corpus sentences extraction !
#113 opened Aug 31, 2020 by BaderEddineB
Est_republicaine Corpus not found
#110 opened Aug 25, 2020 by BaderEddineB
6
Batch Inference
#109 opened Jun 11, 2020 by rockiram
2
GMM decoding
#107 opened May 16, 2020 by sitobock
Errors while trying to add new words
#105 opened May 7, 2020 by ammyt
3
Question: Decoding with Zamia Speech's German wav2letter model using wav2letter Decoder executable
#104 opened May 7, 2020 by realbaker1967
8
Cite in a paper?
#103 opened Apr 21, 2020 by synesthesiam
1
Install on a Raspberry Pi 4
#102 opened Apr 5, 2020 by sushipan
9
Training wav2letter++ streaming convnets (TDS + CTC)
#101 opened Apr 4, 2020 by erksch
6
Suggestion for extracting CNRTL Est Républicain Corpus
#99 opened Feb 28, 2020 by tattorba87
1
tdnn_f vs tdnn_fl
#98 opened Feb 26, 2020 by dpny518
where to find the lattices?
#95 opened Feb 11, 2020 by besimali
3
python3-kaldiasr : Depends: python3 (< 3.6) but 3.6.7-1~18.04 is to be installed
#91 opened Jan 15, 2020 by edbir1
2
install french model
#88 opened Jan 2, 2020 by lespiaucq
1
Which language models were used to generate G.fst for the pre-trained Kaldi models
#87 opened Jan 2, 2020 by lightalchemist
When trying to following instruction ,I am getting "signatures were invalid "error
#85 opened Dec 18, 2019 by WilliamVJacob
9
Integrating it in ios
#84 opened Dec 11, 2019 by Amanpradhan
Cant install as per the instructions
#81 opened Oct 28, 2019 by jamesamrundle
2
How to use the wav2letter model
#80 opened Oct 23, 2019 by brunce
1
Adding new word in the vocabulary
#79 opened Oct 22, 2019 by ckobus
25
ProTip! no:milestone will show everything without a milestone.