audio
audioduration (s)
4.01
7.87
YAML Metadata Warning: The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for Nexdata/Korean_Spontaneous_Speech_Data

Description

396 Hours - Korean Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction

For more details, please refer to the link: https://www.nexdata.ai/datasets/1270?source=Huggingface

Specifications

Format

16kHz, 16bit, mono channel;

Content category

including live, variety-show, speech, etc.

Language

Korean;

Annotation

annotation for the transcription text, speaker identification, gender;

Application scenarios

speech recognition, video caption generation and video content review;

Accuracy

at a Sentence Accuracy Rate (SAR) of being no less than 95%.

Licensing Information

Commercial License

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