Solutions

End-to-End Audio and Speech Data Services

Collection, Annotation, Classification, Transcription, and Model Development

Collection and Ground Truth Data Capture

Annotation, Classification, and Transcription

AI/ML Model Development Custom Solutions

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 Services

Collection, Annotation, Classification, Transcription, and Model Development

High-Quality Speech and Audio Data Annotation, Classification, and Transcription Services

With Innodata’s full suite of audio and speech data annotation services, you can scale your AI models and ensure model flexibility with high-quality annotated data. Leverage Innodata’s deep annotation expertise to streamline audio annotation, classification, and transcription using natural language processing (NLP) and human experts-in-the-loop.

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.

Our machine learning projects are highly dependent on accurately annotated data, and Innodata has a wide reach to experts that can make sense of some of the complex datasets we work with.

Solutions