End-to-end model for named entity recognition from speech without paired training data
Recent works showed that end-to-end neural approaches tend to become very popular for
spoken language understanding (SLU). Through the term end-to-end, one considers the use …
spoken language understanding (SLU). Through the term end-to-end, one considers the use …
Towards end-to-end private automatic speaker recognition
The development of privacy-preserving automatic speaker verification systems has been the
focus of a number of studies with the intent of allowing users to authenticate themselves …
focus of a number of studies with the intent of allowing users to authenticate themselves …
Acoustic-based fluency classification using LSTM-Attention with computationally-cheap data augmentation for an adaptive voicebot
Most voicebots still ignore, nowadays, user fluency level, although recognizing it would
allow to give answers to adaptation issues, according to the language level of the …
allow to give answers to adaptation issues, according to the language level of the …
[PDF][PDF] An efficient approach for the automated segmentation and transcription of the People's Speech corpus
A Biswas, A Boumadane, S Peillon, G Bleas - isca-archive.org
Advancements in speech technology have led to the integration of modern ASR systems into
various applications such as chatbots, medical dictation, video transcription etc …
various applications such as chatbots, medical dictation, video transcription etc …
[PDF][PDF] 声質変換技術によるデータ拡張を利用した話者認証モデルの学習
平塚喬， ヒラツカキョウ， 小高知宏… - 福井大学学術研究院 …, 2024 - u-fukui.repo.nii.ac.jp
In this paper, we tried to improve the authentication performance by increasing the training
data of the speaker authentication model using voice conversion technology. We used one …
data of the speaker authentication model using voice conversion technology. We used one …