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VOSK Speech Recognition Toolkit 1.0.1
pts/vosk-1.0.1
- 27 April 2021 -
Set python external dependency.
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>1.0.1</Version> <SupportedPlatforms>Linux, BSD, MacOSX</SupportedPlatforms> <SoftwareType>Utility</SoftwareType> <TestType>Processor</TestType> <License>Free</License> <Status>Verified</Status> <ExternalDependencies>python</ExternalDependencies> <EnvironmentSize>4700</EnvironmentSize> <ProjectURL>https://alphacephei.com/vosk/</ProjectURL> <Maintainer>Michael Larabel</Maintainer> </TestProfile> </PhoronixTestSuite>