TITLE: Prosody Labelled Dataset for Hindi using Semi-Automated Approach 

ABSTRACT: This study aims to develop a semi-automatically labelled prosody database for
Hindi, for enhancing the intonation component in ASR and TTS systems, which is
also helpful for building Speech to Speech Machine Translation systems.
Although no single standard for prosody labelling exists in Hindi, researchers
in the past have employed perceptual and statistical methods in literature to
draw inferences about the behaviour of prosody patterns in Hindi. Based on such
existing research and largely agreed upon theories of intonation in Hindi, this
study attempts to first develop a manually annotated prosodic corpus of Hindi
speech data, which is then used for training prediction models for generating
automatic prosodic labels. A total of 5,000 sentences (23,500 words) for
declarative and interrogative types have been labelled. The accuracy of the
trained models for pitch accent, intermediate phrase boundaries and accentual
phrase boundaries is 73.40%, 93.20%, and 43% respectively.
This study aims to develop a semi-automatically labelled prosody database for
Hindi, for enhancing the intonation component in ASR and TTS systems, which is
also helpful for building Speech to Speech Machine Translation systems.
Although no single standard for prosody labelling exists in Hindi, researchers
in the past have employed perceptual and statistical methods in literature to
draw inferences about the behaviour of prosody patterns in Hindi. Based on such
existing research and largely agreed upon theories of intonation in Hindi, this
study attempts to first develop a manually annotated prosodic corpus of Hindi
speech data, which is then used for training prediction models for generating
automatic prosodic labels. A total of 5,000 sentences (23,500 words) for
declarative and interrogative types have been labelled. The accuracy of the
trained models for pitch accent, intermediate phrase boundaries and accentual
phrase boundaries is 73.40%, 93.20%, and 43% respectively.
Prosody Labelled Dataset for Hindi using Semi-Automated Approach
http://arxiv.org/abs/2112.05973v1