How Does Pre-Trained Wav2Vec 2.0 Perform On Domain-Shifted Asr? An Extensive Benchmark On Air Traffic Control Communications
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Real world applications such as hands-free dialling in cars may have to perform recognition of spoken digits in potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based Hidden Markov Models~(HMMs), with a p ...
Real world applications such as hands-free dialling in cars may have to perform recognition of spoken digits in potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based Hidden Markov Models (HMMs), with a p ...
Real world applications such as hands-free dialling in cars may have to perform recognition of spoken digits in potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based Hidden Markov Models (HMMs), with a p ...
Presented is a novel approach for enhancing the signal-to-noise ratio (SNR) of optical fibre distributed temperature sensors. The proposed method is based on cyclic codes and it can be implemented by high-power lasers, which are required for long-range app ...
Lanthanide luminescent bioprobes (LLBs) are amongst the most sensitive luminescent probes because their excited states are long-lived, which allows time-resolved detection (TRD) of their luminescence, boosting the signal-to-noise ratio and the sensitivity; ...
We present a theoretical and experimental analysis of the sensing capabilities of Raman-based distributed temperature optical fiber sensor (RDTS) systems using only the anti-Stokes (AS) component in loop configuration. In particular, the effects of time- a ...
Biosensors often require detecting infinitesimal amount of species, thus their readout must be improved for highest sensitivity and best Signal-to-Noise ratio. We will present a simulation tool for piezoresistive strain sensors, which takes into account no ...
Cepstral normalisation in automatic speech recognition is investigated in the context of robustness to additive noise. In this paper, it is argued that such normalisation leads naturally to a speech feature based on signal to noise ratio rather than absolu ...
Cepstral normalisation in automatic speech recognition is investigated in the context of robustness to additive noise. It is argued that such normalisation leads naturally to a speech feature based on signal to noise ratio rather than absolute energy (or p ...
Objective To evaluate a transverse electromagnetic (TEM), a circularly polarized (CP) (birdcage), and a 12-channel phased array head coil at the clinical field strength of B (0) = 3T in terms of signal-to-noise ratio (SNR), signal homogeneity, and maps of ...
