Search Results for author: Lauri Juvela

Found 10 papers, 2 papers with code

Adversarial Guitar Amplifier Modelling With Unpaired Data

no code implementations2 Nov 2022 Alec Wright, Vesa Välimäki, Lauri Juvela

We propose an audio effects processing framework that learns to emulate a target electric guitar tone from a recording.

Transferring neural speech waveform synthesizers to musical instrument sounds generation

no code implementations27 Oct 2019 Yi Zhao, Xin Wang, Lauri Juvela, Junichi Yamagishi

Recent neural waveform synthesizers such as WaveNet, WaveGlow, and the neural-source-filter (NSF) model have shown good performance in speech synthesis despite their different methods of waveform generation.

Audio Generation Speech Synthesis +1

GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogram

1 code implementation8 Apr 2019 Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku

Recent advances in neural network -based text-to-speech have reached human level naturalness in synthetic speech.

Speech Synthesis

Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis

no code implementations14 Mar 2019 Bajibabu Bollepalli, Lauri Juvela, Paavo Alku

The results show that the newly proposed GANs achieve synthesis quality comparable to that of widely-used DNNs, without using an additive noise component.

Speech Synthesis Text-To-Speech Synthesis

Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks

no code implementations30 Oct 2018 Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku

The state-of-the-art in text-to-speech synthesis has recently improved considerably due to novel neural waveform generation methods, such as WaveNet.

Image Generation Speech Synthesis +1

Speaker-independent raw waveform model for glottal excitation

no code implementations25 Apr 2018 Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku

Recent speech technology research has seen a growing interest in using WaveNets as statistical vocoders, i. e., generating speech waveforms from acoustic features.

Speech Synthesis Text-To-Speech Synthesis +1

A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis

no code implementations7 Apr 2018 Xin Wang, Jaime Lorenzo-Trueba, Shinji Takaki, Lauri Juvela, Junichi Yamagishi

Recent advances in speech synthesis suggest that limitations such as the lossy nature of the amplitude spectrum with minimum phase approximation and the over-smoothing effect in acoustic modeling can be overcome by using advanced machine learning approaches.

Speech Synthesis

Speech waveform synthesis from MFCC sequences with generative adversarial networks

1 code implementation3 Apr 2018 Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku

This paper proposes a method for generating speech from filterbank mel frequency cepstral coefficients (MFCC), which are widely used in speech applications, such as ASR, but are generally considered unusable for speech synthesis.

Speech Synthesis

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