300 Hours Spanish Financial Speech Dataset – Banking Audio for ASR, Voice AI and LLM Training

INTERSPEECH 2026 MLC-SLM Challenge Dataset

The INTERSPEECH 2026 MLC-SLM Challenge Dataset, curated by Datatang, is derived from fifteen proprietary conversational speech corpora. Distinguished by exceptional annotation accuracy and operational reliability, this dataset is engineered to address critical challenges in multilingual automatic speech recognition (ASR) and long-context comprehension. It meticulously replicates real-world complexities including spontaneous interruptions and speaker overlaps, thereby providing robust training resources for developing world-ready ASR systems. All data collection and processing strictly comply with international privacy regulations including GDPR, CCPA and PIPL, with rigorous protocols ensuring participant anonymity and ethical data usage throughout the lifecycle.

INTERSPEECH MLC-SLM

300 Hours Italian Financial Speech Dataset – Real-World Conversations with Financial Entity Annotations

300 hours of Italian financial speech dataset featuring real-world conversations and monologue recordings enriched with financial entity annotations. The dataset covering various financial professional terminologies, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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300 Hours French Financial Speech Dataset for ASR, Voice AI and Conversational AI Training

This French financial speech dataset encompasses a wide range of financial terminology and authentically reflects real-world interactions. It includes transcripts, speaker IDs, gender information, and other attributes. Collected from speakers with diverse geographic and personal backgrounds, the dataset helps improve model performance in complex, real-world tasks and has undergone quality validation by multiple AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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300 Hours German Financial Speech Dataset – Banking & FinTech Audio with Transcriptions

This dataset encompasses a wide range of specialized financial terminology and authentically reflects real-world interactions. It includes transcripts, speaker IDs, gender information, and other attributes. Collected from a geographically and demographically diverse group of speakers, the dataset helps improve model performance in complex, real-world tasks and has undergone quality validation by multiple AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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300 Hours Japanese Financial Speech Dataset – Real-World Conversations for Speech Recognition Models

300 hours of Japanese financial speech dataset featuring real-world conversations and monologue speech in finance-related scenarios. The dataset includes rich transcripts and speaker metadata such as speaker ID and gender, and other attributes. Our datasets draw from a geographically diverse group of speakers, enhancing the model's performance on real-world, complex tasks. The datasets have passed quality testing by multiple AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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579 Hours - Japanese Full-Duplex Multi-Channel Speech Dataset (48khz)

This data collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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601 Hours Argentine Spanish Speech Dataset with Transcriptions for AI Training

This Argentine Spanish speech dataset features real-world casual conversations and monologues, reflecting authentic everyday interactions. The dataset includes high-quality audio recordings with transcriptions, speaker IDs, gender information, and other relevant metadata. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, complex tasks; the dataset has undergone quality validation by multiple AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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INTERSPEECH 2025 MLC-SLM Challenge Dataset

The INTERSPEECH 2025 MLC-SLM Challenge Dataset, curated by Nexdata, is derived from fifteen proprietary conversational speech corpora. Distinguished by exceptional annotation accuracy and operational reliability, this dataset is engineered to address critical challenges in multilingual automatic speech recognition (ASR) and long-context comprehension. It meticulously replicates real-world complexities including spontaneous interruptions and speaker overlaps across 11 languages (1500 hours total duration), thereby providing robust training resources for developing world-ready ASR systems. All data collection and processing strictly comply with international privacy regulations including GDPR, CCPA and PIPL, with rigorous protocols ensuring participant anonymity and ethical data usage throughout the lifecycle.

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300 Hours Spanish Financial Speech Dataset – Banking Audio for ASR, Voice AI and LLM Training

spanish speech dataset

spanish financial speech dataset

spanish banking dataset

rag dataset for finance

financial conversational dataset

Current Project Maturity

300 Hours Spanish Financial Speech Dataset – Banking Audio for ASR, Voice AI and LLM Training

spanish speech dataset spanish financial speech dataset spanish banking dataset rag dataset for finance financial conversational dataset

Current Project Maturity

spanish speech dataset

spanish financial speech dataset

spanish banking dataset

rag dataset for finance

financial conversational dataset