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Datasets:
Nexdata
/
Hindi_Conversational_Speech_Data_by_Telephone

Modalities:
Audio
Text
Formats:
soundfolder
Languages:
Hindi
Size:
n<1K
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Libraries:
Datasets
Croissant
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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/Hindi-Conversational-Speech-Data-by-Telephone

Description

The 760 Hours - Hindi Conversational Speech Data involved more than 1,000 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure dialogues' fluency and naturalness. The recording devices are various mobile phones. The audio format is 8kHz, 16bit, uncompressed WAV, and all the speech data was recorded in quiet indoor environments. All the speech audio was manually transcribed with text content, the start and end time of each effective sentence, and speaker identification. The accuracy rate of sentences is ≥ 95%.

For more details, please refer to the link: https://www.nexdata.ai/datasets/1206?source=Huggingface

Format

8kHz, 8bit, wav, mono channel;

Recording Environment

quiet indoor environment, without echo;

Recording Content

dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;

Speaker

1,004 speakers totally, with 48% male and 52% female.

Annotation

annotating for the transcription text, speaker identification and gender

Device

Android mobile phone, iPhone;

Language

Hindi

Application scenarios

speech recognition; voiceprint recognition;

Accuracy rate

95%

Licensing Information

Commercial License

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