Audio and Speech Data Services
Audio and Speech Data Collection
Collection, Annotation, Classification, Transcription, and Model Development
Ground Truth Speech and Audio Data Collection Services
With Innodata’s full suite of audio and speech data collection services, you can scale your AI models and ensure model flexibility with high-quality and diverse data in multiple languages, dialects, demographics, speaker traits, dialogue types, environments, and scenarios. Let Innodata’s global network of 4,000+ experts, including native speakers of 40+ languages, capture the samples you need for any initiative.
Mixed Environmental and Acoustic Settings
From field-recorded audio (like in-home, restaurants, and gyms) to in-studio recordings, our diverse situational audio and speech data can serve any use case.
Custom Scenarios
With our network of global subject matter experts and in-country native-speaking teams, we can provide multi-scenario and actor-based scenario recordings for your initiatives in 40+ languages.
Diverse Speaker Traits
Innodata can collect audio and speech data with diverse cultural, demographic (like gender and age), sentiment, intent, and linguistic characteristics.
Various Dialogue Types
Access to multiple speech dialogue types, like one-speaker (monologue), dual-speaker, or multi-speaker conversations.
Mixed Data Collection Types
Providing a wide range of recording device scenarios for any AI initiative, including audio recorded on hand-held tech, telephones, speakers, or computers.
Flexibility in Sample and Script Requirements
Innodata can provide speech and audio data within any project prerequisite, such as overall sample size, the number of utterances per speaker, scripted vs. spontaneous speech, and natural environments vs. staged scenarios.
End-to-End Audio and Speech Data Collection Services
Collection, Annotation, Classification, Transcription, and Model Development
High-Quality Speech and Audio Data Annotation, Classification, and Transcription Services
Audio Metadata Segmentation
Innodata can partition speech and audio files according to any model-training need, like segmenting different speakers, labeling stop and start times, and tagging speech vs. background noise, music, and silence.
Speech-to-Text Transcription / Audio Speech Recognition
Our human experts-in-the-loop and deep NLP expertise can provide industry-leading transcriptions for any verbatim or non-verbatim initiative, saving you time, labor, and cost.
Speaker Intent and Mood/Sentiment Labeling
Innodata can annotate audio sentiment and intent, like speech intensity, context, word rate, pitch, changes in pitch, and stress — for use in initiatives like customer experience needs, call center dialogues, estimating customers' opinions, and monitoring product or brand reputation.
Speaker Trait Identification
Similar to our world-class speech and audio data collection trait variabilities, we can label traits like languages, dialects, accents, and demographics (like gender and age) within audio files.
Flexibility in Sample and Project Requirements
Innodata can provide speech and audio data annotation within any project prerequisite, including transcription requirements, annotation requirements, delivery method, and delivery schedule.
Audio Classification
In addition to our audio and speech annotation offerings, our global subject matter experts can classify files into broader pre-established categories, like recording quality, amount of background noise, speaker intents, music vs. no music, conversational topics, speaker languages and dialects, the number of speakers, and more.
Speech and Audio AI/ML Model Development
Scale your virtual assistants, ASR or text-to-speech models, conversational AI, wearables, and other NLP initiatives with Innodata’s end-to-end services.
Whether you use our collected or annotated data, or need help utilizing your existing data to deploy or develop speech and audio AI/ML models, Innodata can help you expedite time-to-market. Utilize our world-class subject matter experts to build, train, and deploy models, augment your team, prevent model drift, and scale your models and operations faster.
Model Deployment
Innodata can build, train, and deploy customized audio and speech AI and ML models to support your use-case and specifications built on your desired framework.
Staff Augmentation
When you need to scale your team or deploy a one-off initiative, we have the resources to help. Use Innodata’s experts to avoid hiring, training, and developing staff internally.
Data Drift Prevention
We can help identify issues in data quality, integrity problems, demographic shifts, and changes in workforce bias/behavior. We then utilize various learning types, periodic retraining with new high-quality data, and the introduction of weighted data to get the confidence scores you need.
Innodata Client Testimonials
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