Results 71 to 80 of about 2,263,293 (338)

An Introduction to Speech and Speaker Recognition

open access: yesComputer, 1990
Five approaches that can be used to control and simplify the speech recognition task are examined. They entail the use of isolated words, speaker-dependent systems, limited vocabulary size, a tightly constrained grammar, and quiet and controlled environmental conditions. The five components of a speech recognition system are described: a speech capture
Richard D. Peacocke, Daryl H. Graf
openaire   +1 more source

Practical Adversarial Attacks Against Speaker Recognition Systems

open access: yesWorkshop on Mobile Computing Systems and Applications, 2020
Unlike other biometric-based user identification methods (e.g., fingerprint and iris), speaker recognition systems can identify individuals relying on their unique voice biometrics without requiring users to be physically present.
Zhuohang Li   +5 more
semanticscholar   +1 more source

Self Multi-Head Attention for Speaker Recognition [PDF]

open access: yesInterspeech, 2019
Most state-of-the-art Deep Learning (DL) approaches for speaker recognition work on a short utterance level. Given the speech signal, these algorithms extract a sequence of speaker embeddings from short segments and those are averaged to obtain an ...
Miquel India, P. Safari, J. Hernando
semanticscholar   +1 more source

The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli   +3 more
wiley   +1 more source

Combined Bidirectional Long Short-Term Memory with Mel-Frequency Cepstral Coefficients Using Autoencoder for Speaker Recognition

open access: yesApplied Sciences, 2023
Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Young-Long Chen   +3 more
doaj   +1 more source

Supporting Survivor‐Centered Care Through Digital Health Integration

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak   +15 more
wiley   +1 more source

Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project [PDF]

open access: yes, 2010
This paper provides an overview of speaker adaptation research carried out in the EMIME speech-to-speech translation (S2ST) project. We focus on how speaker adaptation transforms can be learned from speech in one language and applied to the acoustic ...
Tokuda, Keiichi   +20 more
core  

SVMs for Automatic Speech Recognition: a Survey [PDF]

open access: yes, 2007
Hidden Markov Models (HMMs) are, undoubtedly, the most employed core technique for Automatic Speech Recognition (ASR). Nevertheless, we are still far from achieving high-performance ASR systems.
Peláez-Moreno, Carmen   +8 more
core   +1 more source

A new study on text-related speaker recognition

open access: yes上海师范大学学报. 自然科学版, 2017
In the study of text-related speaker recognition,it is to include the identity recognition as well as the speech text recognition.This paper proposes a new kind of text-related speaker recognition method based on the speech recognition.The model built by
Zhou Lei, Long Yanhua, Wei Haoran
doaj   +1 more source

Centroid-based Deep Metric Learning for Speaker Recognition [PDF]

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2019
Speaker embedding models that utilize neural networks to map utterances to a space where distances reflect similarity between speakers have driven recent progress in the speaker recognition task.
Jixuan Wang   +4 more
semanticscholar   +1 more source

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