![]() ![]() Mizera, P., Pollák, P., Kolman, A., Ernestus, M.: Accuracy of HMM-Based Phonetic Segmentation Using Monophone or Triphone Acoustic Model. ![]() of LREC 2014: 9th International Conference on Language Resources and Evaluation, Reykjavik, Iceland (2014) 365–370 of Interspeech 2014: 15th Annual Conference of the Interantional Speech Communication Association, Singapore (2014)Įrnestus, M., Kočková-Amortová, L., Pollák, P.: The Nijmegen corpus of casual Czech. Schuppler, B., Adda-Decker, M., Morales-Cordovilla, J.A.: Pronunciation variation in read and conversational Austrian German. of Interspeech 2014: 15th Annual Conference of the Interantional Speech Communication Association, Singapore (2014) 1458–1462 Praat allows one to listen to the speech signal and to view it on the screen together with the corresponding transcription. Lehr, M., Gorman, K., Shafran, I.: Discriminative pronunciation modeling for dialectal speech recognition. of LabPhone 14, The 14th Conference on Laboratory Phonology, Tokyo, Japan (2014) Kolman, A., Pollak, P.: Speech reduction in Czech. In: Sojka, Petr, Horák, Aleš, Kopeček, Ivan, Pala, Karel (eds.) TSD 2010. Nouza, Jan, Silovský, Jan: Adapting Lexical and Language Models for Transcription of Highly Spontaneous Spoken Czech. In: Sojka, Petr, Horák, Aleš, Kopeček, Ivan, Pala, Karel (eds.) TSD 2014. Mizera, Petr, Pollak, Petr, Kolman, Alice, Ernestus, Mirjam: Impact of Irregular Pronunciation on Phonetic Segmentation of Nijmegen Corpus of Casual Czech. Available at īoersma, P., Weenink, D.: Praat: Doing phonetics by computer (version 5.3.15). Springer (2008) 559–584įousek, P., Mizera, P., Pollak, P.: CtuCopy feature extraction tool. In: Handbook on Speech Processing and Speech Communication. Mohri, M., Pereira, F.C.N., Riley, M.: Speech recognition with weighted finite-state transducers. In: Isahara, Hitoshi, Kanzaki, Kyoko (eds.) JapTAL 2012. of LREC 2012, 8th International Conference on Language Resources and Evaluation, Istanbul, Turkey (2012) 1748–1755īrognaux, Sandrine, Roekhaut, Sophie, Drugman, Thomas, Beaufort, Richard: Automatic Phone Alignment. of Interspeech 2011: 12th Annual Conference of the Interantional Speech Communication Association, Firenze, Italy (2011)īigi, B.: Sppas: a tool for the phonetic segmentation of speech. Goldman, J.P.: EasyAlign: an automatic phonetic alignment tool under Praat. Yuan, J., Liberman, M.: Speaker identification on the SCOTUS corpus. of LREC 2008, 6th International Conference on Language Resources and Evaluation, Marrakech, Morocco (2008) 2 MAUS is short for The Munich Automatic Segmentation System (cf. Pollak, P., Volin, J., Skarnitzl, R.: Phone segmentation tool with integrated pronunciation lexicon and Czech phonetically labelled reference database. your audio file(s) and uses Praat to identify relevant speech intervals in the audio. In: Proc of ASRU 2011, IEEE 2011 Workshop on Automatic Speech Recognition and Understanding. Povey, D., et al.: The Kaldi speech recognition toolkit. Young, S., et al.: The HTK Book, Version 3.4.1, Cambridge. IEEE Transactions on Speech and Audio Processing 11, 617–625 (2003) Toledano, D.T., Hernandez Gomez, L.A., Grande, L.V.: Automatic Phonetic Segmentation. ![]()
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