The proposed length-variable moving window algorithm is to select the different length moving window for speech segmentation, which caused each window to ...
Dec 1, 2022 · This article presents the Automatic Speaker Recognition System (ASR System), which successfully resolves problems such as identification within an open set of ...
We propose Gaussian Mixture Model (GMM)-based emotional voice conversion using spectrum and prosody features. In recent years, speech recognition and synthesis ...
: Variable Sliding Window DTW Speech Identification Algorithm. HIS (1) ... : Speaker Transformation Using Length-Variable Moving Window Based GMM. HIS ...
Speech segmentation via sliding windows with variable length can eliminate the errors caused by the difference of speech signals contained in each window.
Moreover, this paper utilizes probability weighted transformation algorithm based on Gaussian mixture model (GMM), which linearly combines a few rules derived ...
4.1.3 Middle/Outer Ear Transformation. The spectrum of each frame will be transformed to a frame of the same length using the transformations discussed in ...
Jul 21, 2024 · Speaker embedding aims to represent variable-length speech utterances as fixed-length vectors with an additional constraint that the embeddings ...
Speaker-independent HMM-based voice conversion using adaptive ... Speaker Transformation Using Length-Variable Moving Window Based GMM. HIS '09 ...
In this example, you create a text-dependent speaker verification system using a Gaussian mixture model/universal background model (GMM-UBM).
Missing: Transformation Length-