2006
DOI: 10.1109/tasl.2006.876129
|View full text |Cite
|
Sign up to set email alerts
|

Generating expressive speech for storytelling applications

Abstract: Work on expressive speech synthesis has long focused on the expression of basic emotions. In recent years, however, interest in other expressive styles has been increasing. The research presented in this paper aims at the generation of a storytelling speaking style, which is suitable for storytelling applications and more in general, for applications aimed at children. Based on an analysis of human storytellers' speech, we designed and implemented a set of prosodic rules for converting "neutral" speech, as pro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
51
0
1

Year Published

2006
2006
2024
2024

Publication Types

Select...
3
3
2

Relationship

1
7

Authors

Journals

citations
Cited by 92 publications
(52 citation statements)
references
References 18 publications
0
51
0
1
Order By: Relevance
“…The term "variety of styles" has been introduced as a domain-dependent point of study. For example, ESS can convey messages such as "good-bad news", "yes-no questions" [51], "storytelling" [52], and "military" [53].…”
Section: Expressive Speech Synthesismentioning
confidence: 99%
“…The term "variety of styles" has been introduced as a domain-dependent point of study. For example, ESS can convey messages such as "good-bad news", "yes-no questions" [51], "storytelling" [52], and "military" [53].…”
Section: Expressive Speech Synthesismentioning
confidence: 99%
“…The factors are calculated by dividing the average desired (i.e. storytelling) prosodic values with the average neutral prosodic values [13]. For example, global rule modification factor of accented syllables for pitch in female storyteller is calculated as follows:…”
Section: Prosodic Parameter Analysismentioning
confidence: 99%
“…This approach was undertaken by many expressive TTS in Dutch [6], English [7], Catalan [8], Spanish [9], Indian [10], German [11] and Korean [12] languages. In [13], global rules are used to modify prosodic parameters of pitch, intensity, overall speech tempo and pause duration to convert neutral speech into storytelling. In a more recent work, local rules are employed at phrase-level instead of sentence-level to synthesize storytelling speaking style in Bengali, Hindi, and Telugu.…”
Section: Introductionmentioning
confidence: 99%
“…Shared story reading with parents or teachers helps children to learn about vocabulary, syntax and phonology, and to develop narrative comprehension and awareness of the concepts of print, all of which are linked to developing reading and writing skills (National Early Literacy Panel 2008). While acknowledging that the parental role in storytelling is irreplaceable, we consider text-to-speech (TTS) enabled storytelling systems (Rusko et al, 2013;Zhang et al, 2003;Theune et al, 2006) to be aligned with the class of childoriented applications that aim to aid learning.…”
Section: Introductionmentioning
confidence: 99%
“…For a TTS-based digital storytelling system to successfully create an experience as engaging as human storytelling, the underlying speech synthesis system has to narrate the story in a "storytelling speech style" (Theune et al, 2006), generate dialogs uttered by different characters using synthetic voices appropriate for each character's gender, age and personality (Greene et al, 2012), and express quotes demonstrating emotions such as sadness, fear, happiness, anger and surprise (Alm, 2008) with realistic expression (Murray and Arnott, 2008). However, before any of the aforementioned requirements -all related to speech generation -can be met, the text of the story has to be analyzed to identify which portions of the text should be rendered by the narrator and which by each of the characters in the story, who are the different characters in the story, what is each character's gender, age, or other salient personality attributes that may influence the voice assigned to that character, and what is the expressed affect in each of the character quotes.…”
Section: Introductionmentioning
confidence: 99%