Clarity-2021 challenges: Machine learning challenges for advancing hearing aid processing

SN Graetzer, J Barker, TJ Cox… - … of the Annual …, 2021 - salford-repository.worktribe.com
In recent years, rapid advances in speech technology have been made possible by machine
learning challenges such as CHiME, REVERB, Blizzard, and Hurricane. In the Clarity …

A survey of code-switched speech and language processing

S Sitaram, KR Chandu, SK Rallabandi… - arXiv preprint arXiv …, 2019 - arxiv.org
Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

Deep learning based assessment of synthetic speech naturalness

G Mittag, S Möller - arXiv preprint arXiv:2104.11673, 2021 - arxiv.org
In this paper, we present a new objective prediction model for synthetic speech naturalness.
It can be used to evaluate Text-To-Speech or Voice Conversion systems and works …

[PDF][PDF] Building multilingual end-to-end speech synthesisers for indian languages

A Prakash, AL Thomas, S Umesh… - Proc. of 10th ISCA …, 2019 - isca-archive.org
Building text-to-speech (TTS) synthesisers is a difficult task, especially for low resource
languages. Language-specific modules need to be developed for system building. End-to …

[PDF][PDF] Random forests for statistical speech synthesis

AW Black, PK Muthukumar - Sixteenth Annual Conference of the …, 2015 - cs.cmu.edu
The world of statistical parametric speech synthesis continues to improve with recent
investigations of different machine learning techniques to better model spectrum, F0 and …

[PDF][PDF] On Building Mixed Lingual Speech Synthesis Systems.

SK Rallabandi, AW Black - Interspeech, 2017 - cs.cmu.edu
Codemixing-phenomenon where lexical items from one language are embedded in the
utterance of another-is relatively frequent in multilingual communities. However, TTS …

[PDF][PDF] The festvox indic frontend for grapheme to phoneme conversion

A Parlikar, S Sitaram, A Wilkinson… - WILDRE: Workshop on …, 2016 - cs.cmu.edu
Abstract Text-to-Speech (TTS) systems convert text into phonetic pronunciations which are
then processed by Acoustic Models. TTS frontends typically include text processing, lexical …

[PDF][PDF] Code-switching in Indic Speech Synthesisers.

AL Thomas, A Prakash, A Baby, HA Murthy - INTERSPEECH, 2018 - isca-archive.org
Most Indians are inherently bilingual or multilingual owing to the diverse linguistic culture in
India. As a result, code-switching is quite common in conversational speech. The objective …

[PDF][PDF] How to compare TTS systems: a new subjective evaluation methodology focused on differences.

J Chevelu, D Lolive, S Le Maguer, D Guennec - Interspeech, 2015 - isca-archive.org
Subjective evaluation is a crucial problem in the speech processing community and
especially for the speech synthesis field, no matter what system is used. Indeed, when trying …

[PDF][PDF] Variational Attention Using Articulatory Priors for Generating Code Mixed Speech Using Monolingual Corpora.

SK Rallabandi, AW Black - INTERSPEECH, 2019 - cs.cmu.edu
Code Mixing-phenomenon where lexical items from one language are embedded in the
utterance of another-is relatively frequent in multilingual communities and therefore speech …