datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vibevoice-channelbpodcast-single-speaker214-Hours-Korean-Full-Duplex-Multi-Channel-Speech-Dataset
Description
주제 기반 대화로 수집한 한국어(대한민국) 멀티스트림 자연 발화 스마트폰 음성 데이터셋입니다. 각 음성 데이터에는 대화 내용을 전사한 텍스트와 화자 ID, 성별, 연령 등의 속성 정보가 포함되어 있습니다. 본 데이터셋은 다양한 지역과 배경을 가진 폭넓은 화자들로부터 수집되었으며, 실제 환경에서 발생하는 복잡하고 다양한 음성 상황에 대한 모델의 성능 향상에 활용할 수 있습니다.
자세한 내용은 아래 링크를 참고해 주세요: https://ko.nexdata.ai/datasets/speechrecog/1704?source=hf.kr
Specifications
Format
16 kHz, 16 bit, WAV, 모노 채널
Content category
정해진 주제 없이 자유롭게 진행된 자연 대화
Recording condition
낮은… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/214-Hours-Korean-Full-Duplex-Multi-Channel-Speech-Dataset.channelbpodcast_dataset_persian268-Hours-Arabic-Saudi-Full-Duplex-Multi-Channel-Customer-Service-Speech-Data-Sample
Description
Arabic(Saudi) Multi-stream Spontaneous Dialogue Smartphone speech dataset-Customer Service. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(268 native speakers), geographicly speaking, enhancing model performance in real and complex tasks.
For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1627?source=Huggingface… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/268-Hours-Arabic-Saudi-Full-Duplex-Multi-Channel-Customer-Service-Speech-Data-Sample.172-hours-American-English-Full-Duplex-Multi-Channel-Speech-DatasetDescription
주제 기반 대화로 수집한 미국 영어 멀티스트림 자연 발화 스마트폰 음성 데이터셋입니다. 각 음성 데이터에는 대화 내용을 전사한 텍스트와 화자 ID, 성별, 연령 등의 속성 정보가 포함되어 있습니다. 본 데이터셋은 다양한 지역과 배경을 가진 폭넓은 화자들로부터 수집되었으며, 실제 환경에서 발생하는 복잡하고 다양한 음성 상황에 대한 모델의 성능 향상에 활용할 수 있습니다. 자세한 내용은 아래 링크를 참고해 주세요: https://ko.nexdata.ai/datasets/speechrecog/1770?fromCategoryPage=1?source=hf.kr
Specifications
Format
16 kHz, 16 bit, 비압축 WAV, 모노 채널, 화자별 채널 분리
Content category
주제 기반 자연 대화
Recording condition
낮은 배경 소음 환경(실내)
Recording device
Android 스마트폰, iPhone
Country… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/172-hours-American-English-Full-Duplex-Multi-Channel-Speech-Dataset.268-Hours-Arabic-Saudi-Full-Duplex-Multi-Channel-Customer-Service-Speech-Dataset
Description
사우디아라비아 아랍어(Arabic-Saudi) 멀티스트림 자연 대화 스마트폰 고객 서비스 음성 데이터셋입니다. 다양한 고객 서비스 상황에서 자유롭게 대화하는 방식으로 수집되었으며, 전사 텍스트와 함께 화자 ID, 성별, 연령 등의 속성 정보가 제공됩니다. 총 268명의 아랍어 원어민 화자로부터 데이터를 수집하여 다양한 화자 특성을 반영했으며, 실제 환경에서 발생하는 복잡하고 다양한 음성 상황에 대한 모델의 성능 향상을 지원합니다.
자세한 내용은 아래 링크를 참고해 주세요: https://ko.nexdata.ai/datasets/speechrecog/1627?source=hf.kr
Specifications
Format
16kHz, 16 bit, WAV, 모노 채널
Content category
정해진 주제 없이 자유롭게 진행된 자연 대화… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/268-Hours-Arabic-Saudi-Full-Duplex-Multi-Channel-Customer-Service-Speech-Dataset.423-Hours-English-Philippine-Full-Duplex-Multi-Channel-Speech-Dataset
Description
필리핀 영어(English-Philippine) 멀티스트림 자연 대화 스마트폰 음성 데이터셋으로, 주어진 주제를 바탕으로 대화하는 방식으로 수집되었습니다. 전사 텍스트와 함께 화자 ID, 성별, 연령 등의 속성 정보가 제공됩니다. 다양한 지역의 폭넓은 화자로부터 데이터를 수집하여 실제 환경에서 발생하는 복잡하고 다양한 음성 상황에 대한 모델의 성능 향상을 지원합니다.
자세한 내용은 아래 링크를 참고해 주세요: https://ko.nexdata.ai/datasets/speechrecog/1771?source=hf.kr
Specifications
Format
16kHz, 16 bit, 비압축 WAV, 모노 채널, 화자별 채널 분리
Content category
주어진 주제를 기반으로 대화
Recording condition
낮은… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/423-Hours-English-Philippine-Full-Duplex-Multi-Channel-Speech-Dataset.channel_b_noisyArabic_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 64,027 hours of processed Arabic (AR) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format, where… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Arabic_Call_Center_Audio_Dataset_Dual_Channel.Arabic-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 64,027 hours of processed Arabic (AR) single-channel call center audio recordings, part of a broader multilingual conversational audio collection containing approximately 3,569,083 processed call center recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Arabic-Call-Center-Audio-Dataset-Single-Channel.Hindi_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 1,587,658 hours of processed Hindi dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format, where… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Hindi_Call_Center_Audio_Dataset_Dual_Channel.Russian_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 1,025 hours of processed Russian (RU) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format, where… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Russian_Call_Center_Audio_Dataset_Dual_Channel.Nepali_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 229,645 hours of processed Nepalese (NP) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel.French_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 31,106 hours of processed French (FR) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format, where… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/French_Call_Center_Audio_Dataset_Dual_Channel.Filipino-Tagalog-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 169 hours of processed Filipino (FIL) and 4019 hours of processed Tagalog (TL) single-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence patterns, and natural… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Filipino-Tagalog-Call-Center-Audio-Dataset-Single-Channel.Hindi-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 1,587,658 hours of processed Hindi single-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence patterns, interruptions, and natural speaking behaviour commonly… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Hindi-Call-Center-Audio-Dataset-Single-Channel.English_United_States_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 250,362 hours of processed English (US) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/English_United_States_Call_Center_Audio_Dataset_Dual_Channel.English-United-Kingdom-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 90,334 hours of processed English (UK) single-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence patterns, interruptions, and natural speaking behavior commonly… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/English-United-Kingdom-Call-Center-Audio-Dataset-Single-Channel.English_United_Kingdom_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 90,334 hours of processed English (UK) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/English_United_Kingdom_Call_Center_Audio_Dataset_Dual_Channel.Filipino_Tagalog_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 169 hours of processed Filipino (FIL) and 4,019 hours of processed Tagalog (TL) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Filipino_Tagalog_Call_Center_Audio_Dataset_Dual_Channel.Marathi-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 58,486 hours of processed Marathi (MR) single-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence patterns, and natural speaking behaviour commonly observed in… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Marathi-Call-Center-Audio-Dataset-Single-Channel.German_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 212 hours of processed German (DE) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format, where… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/German_Call_Center_Audio_Dataset_Dual_Channel.Odia_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 12,794 hours of processed Odia(Oriya) (OR) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Odia_Call_Center_Audio_Dataset_Dual_Channel.Mizo_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 468 hours of processed Mizo (MZ) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format, where… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Mizo_Call_Center_Audio_Dataset_Dual_Channel.English_India_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 30,320 processed English (India) dual-channel call center audio recordings, part of a broader multilingual conversational audio collection containing approximately 3,569,083 processed call center recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments.… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/English_India_Call_Center_Audio_Dataset_Dual_Channel.Malayalam-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 14,980 hours of processed Malayalam (ML) single-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence patterns, and natural speaking behaviour commonly observed in… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Malayalam-Call-Center-Audio-Dataset-Single-Channel.Russian-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 1,025 hours of processed Russian (RU) single-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence patterns, and natural speaking behaviour commonly observed in… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Russian-Call-Center-Audio-Dataset-Single-Channel.Bengali_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 377,909 hours of processed Bengali (BN) dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Bengali_Call_Center_Audio_Dataset_Dual_Channel.1100-Hours-Tagalog-Full-Duplex-Multi-Channel-Speech-Data-Sample
1100-Hours-Tagalog-Full-Duplex-Multi-Channel-Speech-Data-Sample
Description
Tagalog Multi-stream Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks.
For more details, please refer to the link:… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/1100-Hours-Tagalog-Full-Duplex-Multi-Channel-Speech-Data-Sample.200-Hours-Korean-Full-Duplex-Multi-Channel-Speech-Data-Sample
Description
Korean(Korea) Multi-stream Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks.
For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1704?source=Huggingface… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/200-Hours-Korean-Full-Duplex-Multi-Channel-Speech-Data-Sample.