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metric ID: naturalness

Related Papers

Vowel Sound Disambiguation for Intelligible Korean Speech Synthesis

Authors: nan

Publication: TIPSTER (2005)

DOI: nan

For speech synthesis systems that transform text materials into voice data, correctness and naturalness are the crucial measures of performance, the latter gaining more emphasis recently. In order to make …...

19578

Comparing HMMs and Bayesian Networks for Surface Realisation

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

Natural Language Generation (NLG) systems often use a pipeline architecture for sequen- tial decision making. Recent studies how- ever have shown that treating NLG decisions jointly rather than in isolation …...

23823

Improving speech synthesis quality by reducing pitch peaks in the source recordings

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

We present a method for improving the perceived nat- uralness of corpus-based speech synthesizers. It con- sists in removing pronounced pitch peaks in the origi- nal recordings, which typically lead …...

23655

Towards an open-domain conversational system fully based on natural language processing

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This paper proposes an architecture for an open-domain conversational system and evaluates an implemented system. The proposed architecture is fully composed of modules based on natu- ral language processing techniques. …...

5840

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact both on usabil- ity and perceived quality. Most NLG sys- tems in common …...

34432

Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractRecently Wen et al. (2015) have proposed a Recurrent Neural Network (RNN) approach to the generation of utterances from dialog acts, and shown that although their model requires less effort …...

4514

Neural Generation of Dialogue Response Timings

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe timings of spoken response offsets in human dialogue have been shown to vary based on contextual elements of the dialogue. We propose neural models that simulate the distributions of …...

38001

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractResearch shows that natural language processing models are generally considered to be vulnerable to adversarial attacks; but recent work has drawn attention to the issue of validating these adversarial inputs …...

31168

Low-Resource Multilingual and Zero-Shot Multispeaker TTS

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWhile neural methods for text-to-speech (TTS) have shown great advances in modeling multiple speakers, even in zero-shot settings, the amount of data needed for those approaches is generally not feasible …...

510

Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes the motivation and development of speech synthesis systems for the purposes of language revitalization. By building speech synthesis systems for three Indigenous languages spoken in Canada, Kanien’kéha, …...

38873