The objective of Spoken Language Identification (LID) is to recognize automatically the language spoken in an unknown speech signal. This system has several applications such as Speech-To-Speech Machine Translation Systems and telephone-based services. In the case of Automatic Speech Recognition (ASR), the LID allows the selection of appropriate parameters of the ASR system. There are two main types of LID system: there are LIDs based on spectral features and others based on tokens.
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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