The speaking style of the database determines that of the synthetic speech, so how about recording more interesting speech material?
7 minute 5 seconds
Audio examples
3.1 Emotional synthesis using unit selection, by blending units from different databases
Gregor Hofer, “Emotional Speech Synthesis“, MSc thesis, University of Edinburgh, 2004.
Using only data in a single emotion
Kirsten: neutral
Kirsten: angry
Kirsten: happy
Korin: neutral
Korin: angry
Blending data in an emotion and neutral speech in varying proportions
Kirsten: neutral
Kirsten: full on angry
Kirsten: half angry
Kirsten: somewhat angry
Kirsten: full on happy
Kirsten: half happy
Kirsten: somewhat happy
3.2 Building voices from read speech vs. spontaneous speech
Building the voice only from spontaneous speech. The quality is not good.
Building the voice only from read speech (the voice talent read out the transcript of the previously-recorded spontaneous speech). The quality is as expected from the standard HMM-based approach using this amount of data.
3.5 Building voices from read speech vs. spontaneous speech, or blending the two types of data
Sebastian Andersson, Junichi Yamagishi, and Robert A.J. Clark. Synthesis and evaluation of conversational characteristics in HMM-based speech synthesis. Speech Communication, 54(2):175-188, 2012. DOI: 10.1016/j.specom.2011.08.001
HMM-based synthesis. Refer to paper for descriptions of each system below.
Original natural spontaneous speech
Read Aloud HTS
Spontaneous HTS
Blend.Read
Blend.Spon
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