Search Results for author: Tomi H. Kinnunen

Found 3 papers, 0 papers with code

An Initial study on Birdsong Re-synthesis Using Neural Vocoders

no code implementations21 Sep 2022 Rhythm Bhatia, Tomi H. Kinnunen

Our subjective results indicate no difference in the three vocoders in terms of species discrimination (ABX test).

Resynthesis Speech Synthesis

Neural i-vectors

no code implementations3 Apr 2020 Ville Vestman, Kong Aik Lee, Tomi H. Kinnunen

To combine the benefits of high performance and generative interpretation, we investigate the use of deep embedding extractor and i-vector extractor in succession.

Speaker Recognition Speaker Verification

Unleashing the Unused Potential of I-Vectors Enabled by GPU Acceleration

no code implementations20 Jun 2019 Ville Vestman, Kong Aik Lee, Tomi H. Kinnunen, Takafumi Koshinaka

In particular, we achieve an acceleration of 3000 times in frame posterior computation compared to real time and 25 times in training the i-vector extractor compared to the CPU baseline from Kaldi toolkit.

Speaker Verification

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