|
gptkbp:instance_of
|
gptkb:language
gptkb:studio
|
|
gptkbp:bfsLayer
|
3
|
|
gptkbp:bfsParent
|
gptkb:mountain
gptkb:currency
|
|
gptkbp:aims_to
|
convert speech to text
|
|
gptkbp:api
|
gptkb:Library
|
|
gptkbp:architectural_style
|
end-to-end neural network
|
|
gptkbp:based_on
|
gptkb:Tensor_Flow_1.x
deep learning
Baum-Welch algorithm
|
|
gptkbp:community_support
|
active community
|
|
gptkbp:developed_by
|
gptkb:Mozilla
|
|
gptkbp:has
|
gptkb:document
tutorials
user community
model checkpoints
active contributors
open-source code
|
|
gptkbp:has_programs
|
customer service automation
transcription services
voice assistants
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Speech
|
|
gptkbp:input_output
|
gptkb:book
gptkb:poet
|
|
gptkbp:is_available_on
|
gptkb:Py_PI
gptkb:archive
gptkb:NPM
|
|
gptkbp:is_compatible_with
|
gptkb:lake
gptkb:fortification
gptkb:Graphics_Processing_Unit
|
|
gptkbp:is_evaluated_by
|
academic papers
benchmarks
Word Error Rate (WER)
|
|
gptkbp:is_integrated_with
|
various applications
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_part_of
|
gptkb:Mozilla's_Common_Voice_project
Mozilla's AI initiatives
|
|
gptkbp:is_promoted_by
|
gptkb:Mozilla
|
|
gptkbp:is_supported_by
|
gptkb:Mozilla_Foundation
|
|
gptkbp:is_used_by
|
gptkb:illithids
other creatures
aberrations
beholders
|
|
gptkbp:is_used_for
|
gptkb:Formula_One_race
voice commands
transcription services
language learning tools
dictation
speech therapy tools
|
|
gptkbp:is_used_in
|
research projects
commercial applications
|
|
gptkbp:language
|
gptkb:Ken_LM
|
|
gptkbp:latest_version
|
0.9.3
|
|
gptkbp:license
|
MPL 2.0
|
|
gptkbp:performance
|
real-time transcription
|
|
gptkbp:platform
|
gptkb:smartphone
gptkb:operating_system
|
|
gptkbp:provides
|
real-time transcription
|
|
gptkbp:provides_information_on
|
Common Voice dataset
|
|
gptkbp:related_model
|
~1.5 GB
|
|
gptkbp:release_date
|
September 2017
October 2020
|
|
gptkbp:released_in
|
gptkb:2017
|
|
gptkbp:requires
|
CPU for inference
GPU for training
|
|
gptkbp:supports
|
gptkb:French
gptkb:Spanish
English
multiple languages
|
|
gptkbp:training
|
gptkb:Graphics_Processing_Unit
gptkb:stock_market_index
custom datasets
|
|
gptkbp:uses
|
gptkb:microprocessor
deep learning
Connectionist Temporal Classification (CTC)
|
|
gptkbp:utilizes
|
end-to-end training
|