Blind Audio Source Separation (BASS) is a crucial problem in the field of speech and audio processing. Its goal is to separate different sources from their mixture. In the case of audio mining, trying to analyze the content of the audio signal generally consists of designing a print or pattern of a given sound to recognize. Thus, one has to admit that when the signal is a mixture, it becomes difficult to extract suitable features allowing the design of a particular sound.
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Acoustic FeaturesAcoustic ModelsArtificial IntelligenceASRaudio featuresAudio FingerprintsAudio signal processingAudio time and frequency indicatorsBigDataBigTableBlind Audio Source SeparationCassandraComputation VisionComputer VisionEdge DetectionGMMGrammarHadoopHMMImage ProcessingInformation RetrievalKeyword spottingLanguage ModellingLatent Dirichlet AllocationLatent Semantic AnalysisLexiconMAPMapReduceMFCCNoise ReductionPhone RecognitionPLPProbalistic Latent Semantic AnalysisShifted Delta CepstralSimilarity MeasuresSpeech EnhancementSpeech ProcessingSupervised automatic learningSVMSVM and GMM classificationsText MiningUBMvideo boundariesvideo featuresWiener Filter