arXiv:1911.13087
공식 코드 · Papers with Code
Kurdish (Sorani) Speech to Text: Presenting an Experimental Dataset
원문 초록
We present an experimental dataset, Basic Dataset for Sorani Kurdish Automatic Speech Recognition (BD-4SK-ASR), which we used in the first attempt in developing an automatic speech recognition for Sorani Kurdish. The objective of the project was to develop a system that automatically could recognize simple sentences based on the vocabulary which is used in grades one to three of the primary schools in the Kurdistan Region of Iraq. We used CMUSphinx as our experimental environment. We developed a dataset to train the system. The dataset is publicly available for non-commercial use under the CC BY-NC-SA 4.0 license.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming Capabilities
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization
LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect
Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision
Which French speech recognition system for assistant robots?
토론
이 논문과 연결된 포럼 글이 아직 없습니다.