VOSK Speech Recognition Toolkit 1.0.0

pts/vosk-1.0.0 - 27 April 2021 - Initial commit of VOSK.

downloads.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.4.0m1-->
<PhoronixTestSuite>
  <Downloads>
    <Package>
      <URL>https://github.com/alphacep/vosk-api/archive/refs/tags/0.3.21.tar.gz</URL>
      <MD5>6ca3f83573328770d30661853fb3cbe1</MD5>
      <SHA256>c680ab331fa357be7843081d558f71bc478ca02cecf79d3fa42bd2c9b8b51555</SHA256>
      <FileName>vosk-api-0.3.21.tar.gz</FileName>
      <FileSize>238388</FileSize>
    </Package>
    <Package>
      <URL>http://www.phoronix-test-suite.com/benchmark-files/sample-speech-1.tar.xz</URL>
      <MD5>ba4b83806b70a3595f6b220accb7852d</MD5>
      <SHA256>a827b58aa79c23b3842d52af64a08fa3d050752a7643b803d7d18f740f73141e</SHA256>
      <FileName>sample-speech-1.tar.xz</FileName>
      <FileSize>9809032</FileSize>
    </Package>
    <Package>
      <URL>https://alphacephei.com/vosk/models/vosk-model-en-us-daanzu-20200905.zip</URL>
      <MD5>524063ab68feb510a6a030e80e9e7f96</MD5>
      <SHA256>b7147e3081d2d52c859364937e213d0e37a7cee07eb365355ec8fb0a2465e8b8</SHA256>
      <FileName>vosk-model-en-us-daanzu-20200905.zip</FileName>
      <FileSize>967693575</FileSize>
    </Package>
  </Downloads>
</PhoronixTestSuite>

install.sh

#!/bin/sh

pip3 install --user vosk==0.3.21
echo $? > ~/install-exit-status

tar -xf sample-speech-1.tar.xz
tar -xf vosk-api-0.3.21.tar.gz
cd vosk-api-0.3.21/python/example
unzip -o ~/vosk-model-en-us-daanzu-20200905.zip
mv vosk-model-en-us-daanzu-20200905 model

cd ~

echo "#!/bin/sh
cd vosk-api-0.3.21/python/example
python3 ./test_simple.py ~/sample-speech-1.wav
echo \$? > ~/test-exit-status" > vosk
chmod +x vosk

results-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.4.0m1-->
<PhoronixTestSuite>
  <SystemMonitor>
    <Sensor>sys.time</Sensor>
  </SystemMonitor>
</PhoronixTestSuite>

test-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.4.0m1-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>VOSK Speech Recognition Toolkit</Title>
    <AppVersion>0.3.21</AppVersion>
    <Description>VOSK is an open-source offline speech recognition API/toolkit. VOSK supports speech recognition in 17 languages and has a variety of models available and interfaces for different programming languages. This test profile times the speech-to-text process for a roughly three minute audio recording.</Description>
    <ResultScale>Seconds</ResultScale>
    <Proportion>LIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.0.0</Version>
    <SupportedPlatforms>Linux, BSD, MacOSX</SupportedPlatforms>
    <SoftwareType>Utility</SoftwareType>
    <TestType>Processor</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <EnvironmentSize>4700</EnvironmentSize>
    <ProjectURL>https://alphacephei.com/vosk/</ProjectURL>
    <Maintainer>Michael Larabel</Maintainer>
  </TestProfile>
</PhoronixTestSuite>