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Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal.

, , , and . INTERSPEECH, page 1803-1807. ISCA, (2018)

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Speech Activity Detection in online broadcast transcription using Deep Neural Networks and Weighted Finite State Transducers., , , and . ICASSP, page 5460-5464. IEEE, (2017)The Influence of Errors in Phonetic Annotations on Performance of Speech Recognition System., , and . TSD, volume 11107 of Lecture Notes in Computer Science, page 419-427. Springer, (2018)Study on the Use of Deep Neural Networks for Speech Activity Detection in Broadcast Recordings., , and . SIGMAP, page 45-51. SciTePress, (2016)Developing State-of-the-Art End-to-End ASR for Norwegian., , , and . TSD, volume 14102 of Lecture Notes in Computer Science, page 200-213. Springer, (2023)Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal., , , and . INTERSPEECH, page 1803-1807. ISCA, (2018)Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech., , , and . TSD, volume 9924 of Lecture Notes in Computer Science, page 540-547. Springer, (2016)Automatic Development of ASR System for an Under-Resourced Language., and . TSP, page 1-4. IEEE, (2018)Online Speaker Diarization Using Optimized SE-ResNet Architecture., , , and . TSD, volume 14102 of Lecture Notes in Computer Science, page 176-187. Springer, (2023)Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-Vectors., , , , and . TDS, volume 12848 of Lecture Notes in Computer Science, page 371-381. Springer, (2021)Impact of phonetic annotation precision on automatic speech recognition systems., and . TSP, page 311-314. IEEE, (2016)