In this paper we face the problem of speaker recognition in the wild. We tackle the speaker identification and verification problems with the use of Deep ...

Abstract—In this paper we face the problem of speaker recognition in the wild. We tackle the speaker identification and verification problems with the use ...

Simone Bianco , Elia Cereda , Paolo Napoletano: Discriminative Deep Audio Feature Embedding for Speaker Recognition in the Wild. ICCE-Berlin 2018: 1-5.

May 1, 2023 · Two different aggregation strategies are utilized in frame-level feature extractors to capture long-term variations in speaker characteristics.

This work aims to review the recent progress in speaker embedding development and to perform an experimental benchmark experimental comparison.

Discriminative Neural Clustering for Speaker Diarisation · Deep learning methods in speaker recognition: a review · Unsupervised Methods for Speaker Diarization: ...

Jun 18, 2019 · Recently, speaker embeddings extracted from a speaker discriminative deep neural network (DNN) yield better performance than the conventional ...

This repo is to list the references papers of 《Speaker Recognition Based on Deep Learning: An Overview》 ...

We present Deep Speaker, a neural speaker embedding system that maps utterances to a hypersphere where speaker similarity is measured by cosine similarity. 15.

Aug 25, 2021 · In this paper, we design a deep framework with discriminative feature learning method on the accent classification track of Accented English.