arXiv:2202.13865
On the relevance of bandwidth extension for speaker identification
원문 초록
In this paper we discuss the relevance of bandwidth extension for speaker identification tasks. Mainly we want to study if it is possible to recognize voices that have been bandwith extended. For this purpose, we created two different databases (microphonic and ISDN) of speech signals that were bandwidth extended from telephone bandwidth ([300, 3400] Hz) to full bandwidth ([100, 8000] Hz). We have evaluated different parameterizations, and we have found that the MELCEPST parameterization can take advantage of the bandwidth extension algorithms in several situations.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
French Listening Tests for the Assessment of Intelligibility, Quality, and Identity of Body-Conducted Speech Enhancement
CoLMbo: Speaker Language Model for Descriptive Profiling
Whisper Speaker Identification: Leveraging Pre-Trained Multilingual Transformers for Robust Speaker Embeddings
Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding
Towards Speaker Identification with Minimal Dataset and Constrained Resources using 1D-Convolution Neural Network
Disentangling Textual and Acoustic Features of Neural Speech Representations
토론
이 논문과 연결된 포럼 글이 아직 없습니다.