Training accurate, robust AI models for speech, speaker recognition, or audio eventdetection requires diverse, high-quality data. Meeami Technologies providesenterprise-grade audio data services to customers building their own models ortesting third-party models under real-world conditions.
Whether you need voice data in specific languages, accents, environments, orchannel conditions—or tools to manage your own data pipelines—Meeami deliversthe data foundation for model success.
Speech, noise, command, and conversational audio from varied geographies anduse contexts.
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Design and execution of new data collection projects, including demographics,device variation, far-field/multi-mic conditions, and acoustic diversity.
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Time-aligned transcription, diarization tags, emotion or speaker labels usinghuman or hybrid labeling pipelines.
Voice cloning and TTS-based data expansion using synthetic voice pipelines.
Multi-pass validation processes to assess label accuracy, audio quality, and biasdetection using statistical and expert review.
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Meeami uses a mix of internal tools and automation strategies to accelerate data operations.
Curated datasets that align tightly with product goals foraccuracy & efficiency.
Automation pipelines with AI plus human QA enable bothspeed and reliability.
We understand what matters in speech data—fromtiming precision to environment diversity.
Meeami is relied on by leading tech, telecom, andautomotive companies to power critical voice use cases.
Meeami helps you build audio AI that generalizes, performs, and scales—becausewe’ve done it ourselves.
Meeami has built a deep in-house competency in audio data services through yearsof product development.
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