Search Results for author: Sanna Wager

Found 5 papers, 1 papers with code

Upmixing via style transfer: a variational autoencoder for disentangling spatial images and musical content

no code implementations22 Mar 2022 Haici Yang, Sanna Wager, Spencer Russell, Mike Luo, Minje Kim, Wontak Kim

In the stereo-to-multichannel upmixing problem for music, one of the main tasks is to set the directionality of the instrument sources in the multichannel rendering results.

Style Transfer

Dereverberation using joint estimation of dry speech signal and acoustic system

no code implementations24 Jul 2020 Sanna Wager, Keunwoo Choi, Simon Durand

The purpose of speech dereverberation is to remove quality-degrading effects of a time-invariant impulse response filter from the signal.

Room Impulse Response (RIR) Speech Dereverberation

Deep Autotuner: a Pitch Correcting Network for Singing Performances

1 code implementation12 Feb 2020 Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim

We train our neural network model using a dataset of 4, 702 amateur karaoke performances selected for good intonation.

Fully Learnable Front-End for Multi-Channel Acoustic Modeling using Semi-Supervised Learning

no code implementations1 Feb 2020 Sanna Wager, Aparna Khare, Minhua Wu, Kenichi Kumatani, Shiva Sundaram

Using a large offline teacher model trained on beamformed audio, we trained a simpler multi-channel student acoustic model used in the speech recognition system.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances

no code implementations3 Feb 2019 Sanna Wager, George Tzanetakis, Cheng-i Wang, Lijiang Guo, Aswin Sivaraman, Minje Kim

This approach differs from commercially used automatic pitch correction systems, where notes in the vocal tracks are shifted to be centered around notes in a user-defined score or mapped to the closest pitch among the twelve equal-tempered scale degrees.

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