Mike Goodwin — accepted AI-conference papers

2024

Noise-Robust DSP-Assisted Neural Pitch Estimation With Very Low Complexity

Krishna Subramani, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin

ICASSP 2024accepted

Pitch estimation is an essential step of many speech processing algorithms, including speech coding, synthesis, and enhancement. Recently, pitch estimators based on deep neural networks (DNNs) have been outperforming well-established DSP-based techniques. Unfortunately, these new estimators can be i…

Cited by 0 Source ↗Scholar ↗

2023

Framewise Wavegan: High Speed Adversarial Vocoder In Time Domain With Very Low Computational Complexity

Ahmed Mustafa, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin

ICASSP 2023accepted

GAN vocoders are currently one of the state-of-the-art methods for building high-quality neural waveform generative models. However, most of their architectures require dozens of billion floating-point operations per second (GFLOPS) to generate speech waveforms in samplewise manner. This makes GAN v…

Cited by 8 Source ↗Scholar ↗