Top Tweets for #KaldiASR
The 20190609 release of the English #zamiaspeech models marks is the largest yet: over 1500 hours of training material, over 6 weeks of training time: https://t.co/Iy5jYxu0ZR #speechrecognition #kaldiasr
#ZamiaSpeech models (both English and German), #kaldiasr, python-kaldiasr and
python-nltools packages have been updated now for all supported platforms: #centos #debian and #raspbian #speechrecognition https://t.co/1VflhZlils
New 412 hours (including @mozilla #CommonVoice DE), 450k dict entries German #kaldiasr models available for download here: https://t.co/51SbRAx1oG #speechrecognition
There we go: @mozilla's validated german #CommonVoice corpus is now fully covered by our lexicon: https://t.co/uGeM0waLzD #speechrecognition #kaldiasr
Finally new English #zamia-speech #kaldiasr models are available for download here: https://t.co/hCCZi8I9PP - trained on 1200+ hours of recordings, 150k words, 7.55% WER. #CommonVoice #voxforge #speechrecognition #ArtificialIntelligence
The latest 20180815 #zamiaspeech #kaldiasr Models are trained on 1200 hours of recordings including the @mozilla #CommonVoice material: https://t.co/51SbRAx1oG (8.03% WER) #speechrecognition #ai
My @CentOSProject #ArtificialIntelligence YUM Repository keeps growing: 100 RPMs and counting, including #CMUSphinx, #KaldiASR and @TensorFlow ! https://t.co/lPqtebRQ1L
Our latest English #kaldiasr models come with improved noise resistance and tokenizer fixes resulting in slightly better WERs (6.79% for the big model, 7.78% for the #RaspberryPi one) https://t.co/51SbRAx1oG #speechrecognition #voxforge #AI
Latest 0.4.0 release of py-kaldi-asr comes with full Python 3 and unicode support https://t.co/Yrd5CBgsZG #speechrecognition #kaldiasr #Python #ArtificialIntelligence
zamia-speech offers not just pre-trained #kaldiasr models but also binary packages for @Raspberry_Pi and @debian amd64 to help you get started with open source cloudless #speechrecognition in a matter of minutes: https://t.co/amBeT9jNkd
latest 20171217 release of the german #voxforge #kaldiasr #cmusphinx speech recognition models is out: https://t.co/pdAYyYodVa 1.12% WER for kaldi, 11.3% WER for sphinx #ai #asr
1000+ hour english #kaldiasr chain models are finished, extremely pleased with the results: 2.48% WER for the full model, 3.03% WER for the smaller model - which still achieves realtime performance on a #RaspberryPi 3! https://t.co/mjSUocu8mA
exciting: my first 1000+ hour english #kaldiasr chain tdnn model came out at 2.48% WER, about a week from now I should also have first results for the smaller model for embedded use. #asr #speechrecognition #ai #RaspberryPi
#kaldiasr 5.2 tdnn-chain model trained on german #voxforge data achieves 1.18% WER (!!) and is nearing realtime performance on a #RaspberryPi 3 ! download model here: https://t.co/pdAYyYodVa
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