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Nexdata
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Urdu_Conversational_Speech_Data_by_Telephone

Languages:
Urdu
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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/Urdu_Conversational_Speech_Data_by_Telephone

Description

The 196 Hours - Urdu Conversational Speech Data collected by telephone involved 270 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, 8bit, 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. For more details, please refer to the link: https://www.nexdata.ai/datasets/1242?source=Huggingface

Specifications

Format

8kHz, 8bit, u-law/a-law pcm, 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;

Demographics

270 speakers totally, with 56% male and 44% female;.

Annotation

annotating for the transcription text, speaker identification and gender

Device

Telephony recording system;

Language

Urdu

Application scenarios

speech recognition; voiceprint recognition;

Accuracy rate

the word accuracy rate is not less than 95%

Licensing Information

Commercial License

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