Improving the robustness of speech recognition against environmental noise for speech
recognition has been a long research problem. Even with many developments in the field, it …

In this paper, we present a generalization of sigmoid loss function by applying q-exponential
(q-exp) of Tsallis statistics. With this framework, we could relax and/or tighten-up the slopes …

Traditionally, automatic speech recognition (ASR) uses a Hidden Markov Model with
Gaussian Mixture Model (HMM-GMM) as acoustic model and hand-designed features such …

In this paper, in order to control the quality of the embedded content, we propose a new
domain, called q-DWT (discrete wavelet transform) for novel and robust image …

A non‐intrusive speech quality assessment method for complex environments was
proposed. In the proposed approach, a new sparse representation‐based speech …

The advanced front-end (AFE) for automatic speech recognition (ASR) was standardized by
the European Telecommunications Standards Institute (ETSI). The AFE provides speech …

The robustness against environmental distortions of various features used in speech
recognition: MFCC, PLP, LPCC, FBANK, MELSPEC, ETSI-AFE, and PNCC are compared in …

In this paper, we propose a novel feature compensation algorithm based on independent
noise estimation, which employs a Gaussian mixture model (GMM) with fewer Gaussian …

In this paper, a new feature robust against environmental noise is proposed for automatic
speech recognition (ASR). This feature has similar extraction process with Power …

Sektor pertanian adalah salah satu sektor strategis di Indonesia dan penerapan teknologi
pembelajaran mesin dan pembelajaran dalam pada sektor ini dapat menjadi salah satu …