def testOnGuitarWithDataFlow(self):
"runs on guitar and load Yaafe dataflow from file"
self.source = os.path.join (os.path.dirname(__file__), "samples", "guitar.wav")
# Setup Yaafe Analyzer
# Load DataFlow from file
df = DataFlow()
df_file = os.path.join (os.path.dirname(__file__), "yaafe_config", "yaafeDataFlow")
df.load(df_file)
# Setup a new Yaafe TimeSide analyzer
# from DataFlow
self.analyzer = Yaafe(df)
# Expected Results
self.result_length = 5
def testOnGuitarWithDataFlow(self):
"runs on guitar and load Yaafe dataflow from file"
self.source = os.path.join (os.path.dirname(__file__), "samples", "guitar.wav")
# Setup Yaafe Analyzer
# Load DataFlow from file
df = DataFlow()
df_file = os.path.join (os.path.dirname(__file__), "yaafe_config", "yaafeDataFlow")
df.load(df_file)
# Setup a new Yaafe TimeSide analyzer
# from DataFlow
self.analyzer = Yaafe(df)
# Expected Results
self.result_length = 5
def get_dataflow(cls, params, samplerate):
df = DataFlow()
df.createNode('SlopeIntegrator',params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
df.createNode('Derivate',params)
return df
def get_dataflow(cls,params,samplerate):
df = DataFlow()
df.createNode('FrameTokenizer',params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
df.createNode('SlopeIntegrator', params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
df.createNode('Derivate', params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
df.createNode('FrameTokenizer', params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
dataflow_safe_append(df, 'Cepstrum', params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
dataflow_safe_append(df, 'AutoCorrelationPeaksIntegrator', params)
return df
