Results 31 to 40 of about 460,856 (296)
DNN Speaker Tracking with Embeddings
Res. Comput. Sci., 2020 In multi-speaker applications is common to have pre-computed models from enrolled speakers. Using these models to identify the instances in which these speakers intervene in a recording is the task of speaker tracking. In this paper, we propose a novel embedding-based speaker tracking method.
Carlos Rodrigo Castillo-Sanchez +2 more
openaire +3 more sources
Embeddings for DNN Speaker Adaptive Training [PDF]
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019 Accepted at ASRU ...
Joanna Rownicka +2 more
openaire +4 more sources
High-resolution embedding extractor for speaker diarisation [PDF]
, 2022 Speaker embedding extractors significantly influence the performance of clustering-based speaker diarisation systems. Conventionally, only one embedding is extracted from each speech segment.
Kim, You Jin +4 more
core
Content-Dependent Fine-Grained Speaker Embedding for Zero-Shot Speaker Adaptation in Text-to-Speech Synthesis [PDF]
, 2022 Zero-shot speaker adaptation aims to clone an unseen speaker's voice without any adaptation time and parameters. Previous researches usually use a speaker encoder to extract a global fixed speaker embedding from reference speech, and several attempts ...
Zhang, Luwen +7 more
core
Introducing phonetic information to speaker embedding for speaker verification
EURASIP Journal on Audio, Speech, and Music Processing, 2019 Phonetic information is one of the most essential components of a speech signal, playing an important role for many speech processing tasks. However, it is difficult to integrate phonetic information into speaker verification systems since it occurs ...
Yi Liu +3 more
doaj +1 more source
New consonantal acoustic parameters for forensic speaker comparison [PDF]
, 2012 This thesis examines acoustic parameters of five consonants /m, n, ŋ, l, s/ in two dialects of British English: Standard Southern British English and Leeds English.
Kavanagh, Colleen
core +5 more sources
IEEE Access, 2020 Automatic speaker verification (ASV) is an emerging biometric verification technique with more and more applications. However, both verification accuracy and anti-spoofing should be considered carefully before putting ASV into practice, where anti ...
Jiakang Li +3 more
doaj +1 more source
Xi-Vector Embedding for Speaker Recognition [PDF]
IEEE Signal Processing Letters, 2021 We present a Bayesian formulation for deep speaker embedding, wherein the xi-vector is the Bayesian counterpart of the x-vector, taking into account the uncertainty estimate. On the technology front, we offer a simple and straightforward extension to the now widely used x-vector.
Kong Aik Lee +2 more
openaire +3 more sources
Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding with Sequence-to-Sequence Architecture [PDF]
, 2023 We propose a novel neural speaker diarization system using memory-aware multi-speaker embedding with sequence-to-sequence architecture (NSD-MS2S), which integrates the strengths of memory-aware multi-speaker embedding (MA-MSE) and sequence-to-sequence ...
Lee, Chin-Hui +8 more
core
Global–Local Self-Attention Based Transformer for Speaker Verification
Applied Sciences, 2022 Transformer models are now widely used for speech processing tasks due to their powerful sequence modeling capabilities. Previous work determined an efficient way to model speaker embeddings using the Transformer model by combining transformers with ...
Fei Xie, Dalong Zhang, Chengming Liu
doaj +1 more source