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A review of paralinguistic information processing for natural speech communication
Y Yamashita - Acoustical Science and Technology, 2013 - jstage.jst.go.jp
Speech conveys not only linguistic information but also supplemental information that is not
inferable from written language, such as attitude, speaking style, intention, emotion, mental …
inferable from written language, such as attitude, speaking style, intention, emotion, mental …
Controllable emphatic speech synthesis based on forward attention for expressive speech synthesis
In speech interaction scenarios, speech emphasis is essential for expressing the underlying
intention and attitude. Recently, end-to-end emphatic speech synthesis greatly improves the …
intention and attitude. Recently, end-to-end emphatic speech synthesis greatly improves the …
Learning cross-lingual knowledge with multilingual BLSTM for emphasis detection with limited training data
Bidirectional long short-term memory (BLSTM) recurrent neural network (RNN) has
achieved state-of-the-art performance in many sequence processing problems given its …
achieved state-of-the-art performance in many sequence processing problems given its …
Emphatic speech generation with conditioned input layer and bidirectional LSTMS for expressive speech synthesis
By highlighting the focus of an utterance to draw attention, emphasis in speech interaction
plays an important role for speaker intention expressing and understanding. Therefore …
plays an important role for speaker intention expressing and understanding. Therefore …
Synthesizing English emphatic speech for multimodal corrective feedback in computer-aided pronunciation training
Emphasis plays an important role in expressive speech synthesis in highlighting the focus of
an utterance to draw the attention of the listener. We present a hidden Markov model (HMM) …
an utterance to draw the attention of the listener. We present a hidden Markov model (HMM) …
Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis
This paper proposes an unsupervised labeling technique using phrase-level prosodic
contexts for HMM-based expressive speech synthesis, which enables users to manually …
contexts for HMM-based expressive speech synthesis, which enables users to manually …
Generating emphatic speech with hidden Markov model for expressive speech synthesis
Emphasis plays an important role in expressive speech synthesis in highlighting the focus of
an utterance to draw the attention of the listener. As there are only a few emphasized words …
an utterance to draw the attention of the listener. As there are only a few emphasized words …
HMM-based Thai speech synthesis using unsupervised stress context labeling
D Moungsri, T Koriyama… - Signal and Information …, 2014 - ieeexplore.ieee.org
This paper describes an approach to HMM-based Thai speech synthesis using stress
context. It has been shown that context related to stressed/unstressed syllable information …
context. It has been shown that context related to stressed/unstressed syllable information …
[PDF][PDF] Using tilt for automatic emphasis detection with Bayesian networks.
This paper proposes a new framework for emphasis detection from natural speech, where
emphasis refers to a word or part of a word perceived as standing out from its surrounding …
emphasis refers to a word or part of a word perceived as standing out from its surrounding …
Statistical model training technique based on speaker clustering approach for HMM-based speech synthesis
Y Ijima, N Miyazaki, H Mizuno, S Sakauchi - Speech Communication, 2015 - Elsevier
This paper proposes an average voice model training technique based on a speaker
clustering approach to generate synthetic speech with enhanced similarity to the target …
clustering approach to generate synthetic speech with enhanced similarity to the target …