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Background-tracking acoustic features for genre identification of broadcast shows.

, , and . SLT, page 118-123. IEEE, (2014)

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The 2015 sheffield system for longitudinal diarisation of broadcast media., , , , , and . ASRU, page 632-638. IEEE, (2015)Lightly supervised alignment of subtitles on multi-genre broadcasts., , , , , , , , and . Multimedia Tools Appl., 77 (23): 30533-30550 (2018)Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation., , , and . CoRR, (2015)Data-selective Transfer Learning for Multi-Domain Speech Recognition., , and . CoRR, (2015)Background-tracking acoustic features for genre identification of broadcast shows., , and . SLT, page 118-123. IEEE, (2014)Automatic Genre and Show Identification of Broadcast Media., , , and . INTERSPEECH, page 2115-2119. ISCA, (2016)Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition., , , , and . INTERSPEECH, page 2343-2347. ISCA, (2016)Long-Term Statistical Feature Extraction from Speech Signal and Its Application in Emotion Recognition., , , and . SLSP, volume 9449 of Lecture Notes in Computer Science, page 173-184. Springer, (2015)Unsupervised Domain Discovery using Latent Dirichlet Allocation for Acoustic Modelling in Speech Recognition., , and . CoRR, (2015)The USFD Spoken Language Translation System for IWSLT 2014., , , , , , , , , and . CoRR, (2015)