Text independent methods for speech segmentation, " in Lecture Notes in Computer Science, pp.261-290, 2005. ,
On the relation between maximum spectral transition positions and phone boundaries, pp.645-648, 2006. ,
Automatic phonetic segmentation, IEEE Transactions on Speech and Audio Processing, vol.11, issue.6, pp.617-625, 2003. ,
DOI : 10.1109/TSA.2003.813579
Blind Segmentation of Speech Using Non-Linear Filtering Methods, Speech Technologies (I. Ipsic InTech, 2011. ,
DOI : 10.5772/16433
DISTBIC: A speaker-based segmentation for audio data indexing, Speech Communication, vol.32, issue.1-2, pp.111-126, 2000. ,
DOI : 10.1016/S0167-6393(00)00027-3
"Blind" speech segmentation: automatic segmentation of speech without linguistic knowledge, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96, pp.1237-1240, 1996. ,
DOI : 10.1109/ICSLP.1996.607832
Automatic detection of acoustic sub-word boundaries for single digit recognition, Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411), pp.751-754, 1999. ,
DOI : 10.1109/CCECE.1999.808034
Using explicit segmentation to improve HMM phone recognition, 1995 International Conference on Acoustics, Speech, and Signal Processing, pp.229-232, 1995. ,
DOI : 10.1109/ICASSP.1995.479406
Objective Measures of Speech Quality, 1988. ,
DARPA TIMIT acoustic phonetic continuous speech corpus CDROM VOICEBOX: Speech processing toolbox for MATLAB, 1993. ,
Phonemic segmentation using the generalised Gamma distribution and small sample Bayesian information criterion, Speech Communication, vol.50, issue.1, pp.38-55, 2008. ,
DOI : 10.1016/j.specom.2007.06.005
URL : https://hal.archives-ouvertes.fr/hal-00499191
An improved speech segmentation quality measure: the r-value, Proceedings of the 10th Annual Conference of the International Speech Communication Association, pp.1851-1854, 2009. ,
BIC-based speaker segmentation using divide-and-conquer strategies with application to speaker diarization, Audio, Speech, and Language Processing, pp.141-157, 2010. ,
Speaker, environment and channel change detection and clustering via the bayesian information criterion, DARPA Broadcast News Transcription and Understanding Workshop, pp.127-132, 1998. ,
Exploiting independent filter bandwidth of human factor cepstral coefficients in automatic speech recognition, The Journal of the Acoustical Society of America, vol.116, issue.3, 2004. ,
DOI : 10.1121/1.1777872
Human factor cepstral coefficients, The Journal of the Acoustical Society of America, vol.112, issue.5, 2002. ,
DOI : 10.1121/1.4779137
Suggested formula for calculating auditory-filter bandwidth and excitation patterns, Journal of the Acoustical Society of America, 1983. ,
Speech segmentation using regression fusion of boundary predictions, Computer Speech & Language, vol.24, issue.2, pp.273-288, 2010. ,
DOI : 10.1016/j.csl.2009.04.004
URL : https://hal.archives-ouvertes.fr/hal-00593885
Improving text-independent phonetic segmentation based on the Microcanonical Multiscale Formalism, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011. ,
DOI : 10.1109/ICASSP.2011.5947350
URL : https://hal.archives-ouvertes.fr/inria-00557661
A new text-independent method for phoneme segmentation, Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257), 2001. ,
DOI : 10.1109/MWSCAS.2001.986241
Digital Speech: Coding for Low Bit Rate Communication Systems, ch. Voice Activity Detection, pp.357-377, 2004. ,
DOI : 10.1002/0470870109
A statistical model-based voice activity detection, IEEE Signal Processing Letters, vol.6, issue.1, pp.1-3, 1999. ,
DOI : 10.1109/97.736233
Voice Activity Detection Based on an Unsupervised Learning Framework, Audio, Speech, and Language Processing, 2011. ,
DOI : 10.1109/TASL.2011.2125953
Robust speech/non-speech classification in heterogeneous multimedia content, Speech Communication, vol.53, issue.2, 2010. ,
DOI : 10.1016/j.specom.2010.08.008
Robust Speech Recognition and Understanding, ch. Voice Activity Detection. Fundamentals and Speech Recognition System Robustness, 2007. ,
Robust Detection of Phone Boundaries Using Model Selection Criteria With Few Observations, Audio, Speech, and Language Processing, pp.287-298, 2009. ,
DOI : 10.1109/TASL.2008.2009162
Computationally Efficient and Robust BIC-Based Speaker Segmentation, Audio, Speech, and Language Processing, pp.920-933, 2008. ,
DOI : 10.1109/TASL.2008.925152
URL : http://spiral.imperial.ac.uk/bitstream/10044/1/11710/2/IEEE_TRANS_ASLP_2008_Margarita_Kotti.pdf