MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods
원문 초록
A new impulse response (IR) dataset called "MeshRIR" is introduced. Currently available datasets usually include IRs at an array of microphones from several source positions under various room conditions, which are basically designed for evaluating speech enhancement and distant speech recognition methods. On the other hand, methods of estimating or controlling spatial sound fields have been extensively investigated in recent years; however, the current IR datasets are not applicable to validating and comparing these methods because of the low spatial resolution of measurement points. MeshRIR consists of IRs measured at positions obtained by finely discretizing a spatial region. Two subdatasets are currently available: one consists of IRs in a three-dimensional cuboidal region from a single source, and the other consists of IRs in a two-dimensional square region from an array of 32 sources. Therefore, MeshRIR is suitable for evaluating sound field analysis and synthesis methods. This dataset is freely available at https://sh01k.github.io/MeshRIR/ with some codes of sample applications.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement
CoGenAV: Versatile Audio-Visual Representation Learning via Contrastive-Generative Synchronization
Robust Speech Recognition with Schrödinger Bridge-Based Speech Enhancement
SwinLip: An Efficient Visual Speech Encoder for Lip Reading Using Swin Transformer
First Steps Towards Voice Anonymization for Code-Switching Speech
Splitformer: An improved early-exit architecture for automatic speech recognition on edge devices
토론
이 논문과 연결된 포럼 글이 아직 없습니다.