Results 41 to 50 of about 2,263,293 (338)
Speaker Recognition using Random Forest [PDF]
ITM Web of Conferences, 2021 Speaker identification has become a mainstream technology in the field of machine learning that involves determining the identity of a speaker from his/her speech sample.
Khadar Nawas K +2 more
doaj +1 more source
CN-Celeb: multi-genre speaker recognition [PDF]
Speech Communication, 2020 Research on speaker recognition is extending to address the vulnerability in the wild conditions, among which genre mismatch is perhaps the most challenging, for instance, enrollment with reading speech while testing with conversational or singing audio.
Lantian Li +8 more
semanticscholar +1 more source
AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario [PDF]
Interspeech, 2021 In this paper, we present AISHELL-4, a sizable real-recorded Mandarin speech dataset collected by 8-channel circular microphone array for speech processing in conference scenario.
Yihui Fu +12 more
semanticscholar +1 more source
Automatic Speaker Recognition based on Gabor Features and Convolutional Neural Networks [PDF]
مجله مدل سازی در مهندسی, 2023 Human voice contains characteristics such as: ethnicity, gender, feelings, age and other information, and speaker recognition identifies people based on their voice.
Abdolreza Rashno +2 more
doaj +1 more source
X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 In this work, we explore the dependencies between speaker recognition and emotion recognition. We first show that knowledge learned for speaker recognition can be reused for emotion recognition through transfer learning.
R. Pappagari +4 more
semanticscholar +1 more source
Speaker segmentation and clustering [PDF]
, 2008 07.08.13 KB. Ok to add the accepted version to Spiral, Elsevier says ok whlile mandate not enforced.This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding
Kotti, Margarita +5 more
core +1 more source
IEEE Access, 2023 While extensive research has been conducted in the field of biometrics, particularly in face and fingerprint recognition, remote speaker recognition has yet to gain global acceptance due to challenges related to accuracy and data integrity.
Nilashree Wankhede, Sushama Wagh
doaj +1 more source
VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark [PDF]
InterspeechIn this paper, we provide a large audio-visual speaker recognition dataset, VoxBlink2, which includes approximately 10M utterances with videos from 110K+ speakers in the wild.
Yuke Lin +5 more
semanticscholar +1 more source
Utterance-level Aggregation for Speaker Recognition in the Wild [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 The objective of this paper is speaker recognition ‘in the wild’ – where utterances may be of variable length and also contain irrelevant signals. Crucial elements in the design of deep networks for this task are the type of trunk (frame level) network ...
Weidi Xie +3 more
semanticscholar +1 more source
WAVELETS FOR SPEAKER RECOGNITION USING GMM CLASSIFIER
International Journal of Advances in Signal and Image Sciences, 2017 Speaker recognition plays an important role in a biometric based identification of the person using the information available in their speech signals.
Keerthi Anand V D
doaj +1 more source