Zobrazeno 1 - 10
of 914 259
pro vyhledávání: '"A, Hubert"'
Autor:
Jeffrey B. Perry
The St. Croix–born, Harlem-based Hubert Harrison (1883–1927) was a brilliant writer, orator, educator, critic, and activist who combined class consciousness and anti-white-supremacist race consciousness into a potent political radicalism. Harriso
Autor:
Allen Platt
Webster's Dictionary lists the term showman as'a notably spectacular, dramatic, or effective performer.'In the art of drag racing, Hubert Platt checked all boxes. Known as the'Georgia Shaker,'Platt cut his motoring teeth on the long straightaways and
Autor:
Arnold A. Offner
One of the great liberal politicians of the twentieth century, rediscovered in an important, definitive biography Hubert Humphrey (1911–1978) was one of the great liberal leaders of postwar American politics, yet because he never made it to the Ov
Autor:
Malcolm, David
Hubert Crackanthorpe was a skilful and technically innovative English realist/naturalist writer. This edition of his powerful first collection of short stories features a carefully contextualised introduction to the author and his work.
Autor:
Komatsu, Ryota, Shinozaki, Takahiro
Self-supervised speech representation learning has become essential for extracting meaningful features from untranscribed audio. Recent advances highlight the potential of deriving discrete symbols from the features correlated with linguistic units,
Externí odkaz:
http://arxiv.org/abs/2409.10103
Singing voice conversion (SVC) is hindered by noise sensitivity due to the use of non-robust methods for extracting pitch and energy during the inference. As clean signals are key for the source audio in SVC, music source separation preprocessing off
Externí odkaz:
http://arxiv.org/abs/2409.06237
Autor:
Hélène Da Silva-Lejal
Le prêtre vosgien Hubert Côme se raconte de façon saisissante sous la plume de sa biographe. À travers les décennies, vous plongez dans la vie dynamique d'un homme d'Église, en découvrant ses doutes, ses faiblesses, mais aussi sa dévotion in
We present mHuBERT-147, the first general-purpose massively multilingual HuBERT speech representation model trained on 90K hours of clean, open-license data. To scale up the multi-iteration HuBERT approach, we use faiss-based clustering, achieving 5.
Externí odkaz:
http://arxiv.org/abs/2406.06371