Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …

The condition monitoring of electric locomotive has attracted more and more attention due to
its significance for improving the security, reliability and automation level. In this paper, a …

Speech synthesis has made significant strides thanks to the transition from machine learning
to deep learning models. Contemporary text-to-speech (TTS) models possess the capability …

Human language relies on the correct processing of syntactic information, as it is essential
for successful communication between speakers. As an abstract level of language, syntax …

Prosody modeling is an essential component in modern text-to-speech (TTS) frameworks.
By explicitly providing prosody features to the TTS model, the style of synthesized utterances …

Spontaneous speech has many affective and pragmatic functions that are interesting and
challenging to model in TTS. However, the presence of reduced articulation, fillers …

Identification of the language used in spoken utterances is useful for multiple applications,
eg, assist in directing or automating telephone calls, or selecting which language-specific …

This study investigates prosody and fluency of Finland Swedish as a second language (L2).
The main objective is to investigate global measures of prosody and fluency as predictors of …

Chunking language has been proposed to be vital for comprehension enabling the
extraction of meaning from a continuous stream of speech. However, neurocognitive …

In this paper we introduce a new natural language processing dataset and benchmark for
predicting prosodic prominence from written text. To our knowledge this will be the largest …