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Robust TTS duration modelling using DNNS

Research article (2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016) · cited 32× · AI/ML
academia openalex:W2405144467
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Robust TTS duration modelling using DNNS

Summary

Robust TTS duration modelling using DNNS is a scholarly article[1].

Key Facts

  • Robust TTS duration modelling using DNNS's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Robust TTS duration modelling using DNNS. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-tts-duration-modelling-using-dnns
MLA “Robust TTS duration modelling using DNNS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-tts-duration-modelling-using-dnns.
BibTeX @misc{4ortxyz_robust-tts-duration-modelling-using-dnns_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust TTS duration modelling using DNNS}}, year = {2026}, url = {https://4ort.xyz/entity/robust-tts-duration-modelling-using-dnns}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust TTS duration modelling using DNNS — https://4ort.xyz/entity/robust-tts-duration-modelling-using-dnns (retrieved 2026-05-24)

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