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© 2025 Aimproved Limited all rights reserved
Domain-Specific Speech Data for NLP & ASR Applications
Aimproved provides end-to-end speech data collection solutions to fuel AI and ML, delivering diverse, high-quality datasets across languages, accents, acoustic environments, and emotional tones. This enables robust performance in real-world scenarios, enhancing voice recognition systems, virtual assistants, and conversational AI applications. Our offering supports scalable, reliable model training and optimization across industries.
Speech Data Collection for AI & ML Models
Aimproved provides Speech Data Collection for AI, offering diverse, high-quality datasets across languages, accents, environments, and emotional tones. This ensures accurate performance in real-world conditions, enhancing voice recognition, virtual assistants, and customer support applications. Our service supports scalable, reliable AI model optimization across industries.
Speaker ID
Collecting diverse speech data to train AI for accurate speaker recognition across accents, genders, and age groups.
Emotion Tags
Recording speech with different emotional tones to enable AI systems to detect and respond to human emotions effectively.
Multilingual
Gathering speech data in multiple languages to develop AI models that understand varied linguistic and cultural contexts.
Noise Data
Capturing speech in varied acoustic settings to help AI perform in real-world conditions, from quiet rooms to noise.
Speaker ID
Collecting diverse speech data to train AI for accurate speaker recognition across accents, genders, and age groups.
Noise Data
Capturing speech in varied acoustic settings to help AI perform in real-world conditions, from quiet rooms to noise.
Multilingual
Gathering speech data in multiple languages to develop AI models that understand varied linguistic and cultural contexts.
Emotion Tags
Recording speech with different emotional tones to enable AI systems to detect and respond to human emotions effectively.
End-to-End Speech Data Workflow From Audio Collection to Validation
1. Client Onboarding & Scoping
Define objectives, target languages, dialects, demographics, recording environments, and use cases, ensuring alignment with client needs, project goals, and relevant regulatory requirements for a tailored approach.
2. Script & Prompt Design
Develop or review prompts and scripts to ensure they are natural, comprehensive, and diverse, carefully checking that they align with both linguistic and contextual goals, while also reflecting the intended tone and inclusivity.
3.Participant Recruitment
Recruit a diverse group of speakers based on target criteria such as age, gender, accent, and region, ensuring a broad representation that prioritizes inclusivity and reflects the diversity of the intended audience.
4. Data Collection & Recording
Utilize mobile apps, web platforms, or professional studio setups for high-quality audio capture, continuously monitoring for clarity, consistency, and suitability of the recording environment to ensure optimal sound quality.
5. Quality Assurance & Validation
Review recordings for audio quality, completeness, and adherence to guidelines. Flag any unusable samples and promptly re-record them as needed to meet the required standards and ensure consistency.
6. Transcription & Annotation
Transcribe speech manually or semi-automatically with a focus on accuracy, clarity, and consistency. Add annotations like speaker ID, emotion, background noise, or other context-specific details as needed.
7. Data Review & Ethical Compliance
Ensure all data meets strict ethical, privacy, and legal compliance standards. Apply appropriate anonymization and redaction measures when absolutely necessary to protect sensitive information.
8. Final Delivery & Feedback Loop
Package and securely deliver data in the agreed format. Gather valuable feedback, conduct a thorough post-project review, and apply key insights and learnings to improve future projects.
End-to-End Speech Data Workflow From Audio Collection to Validation
1. Defining Project Scope & Metrics
Define objectives, target languages, dialects, demographics, recording environments, and use cases, ensuring alignment with client needs, project goals, and relevant regulatory requirements for a tailored approach.
3. Participant Recruitment
Recruit a diverse group of speakers based on target criteria such as age, gender, accent, and region, ensuring a broad representation that prioritizes inclusivity and reflects the diversity of the intended audience.
5. Quality Assurance & Validation
Review recordings for audio quality, completeness, and adherence to guidelines. Flag any unusable samples and promptly re-record them as needed to meet the required standards and ensure consistency.
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2. Script & Prompt Design
Develop or review prompts and scripts to ensure they are natural, comprehensive, and diverse, carefully checking that they align with both linguistic and contextual goals, while also reflecting the intended tone and inclusivity.
4. Data Collection & Recording
Utilize mobile apps, web platforms, or professional studio setups for high-quality audio capture, continuously monitoring for clarity, consistency, and suitability of the recording environment to ensure optimal sound quality.
7. Data Review & Ethical Compliance
Ensure all data meets strict ethical, privacy, and legal compliance standards. Apply appropriate anonymization and redaction measures when absolutely necessary to protect sensitive information.
6. Transcription & Annotation
Transcribe speech manually or semi-automatically with a focus on accuracy, clarity, and consistency. Add annotations like speaker ID, emotion, background noise, or other context-specific details as needed.
8. Final Delivery & Feedback Loop
Package and securely deliver data in the agreed format. Gather valuable feedback, conduct a thorough post-project review, and apply key insights and learnings to improve future projects.