What makes
Our Speech/Multimodal Datasets More Cost-Efficient
- Because we enable superior AI results within a smaller budget.
Data Customization
Instead of providing unmatched pre-labeled datasets to clients, we customize our datasets to meet the specific needs of out clients. Clients can configure the labels they require—for example, in addition to transcriptions, they can request speaker labels with timestamps and accent-level annotations in conversations.
Data Coverage
Other than unnatural data recorded from prompt reading or narrowly distributed data collected from limited data sources, our datasets curated from publically available sources cover more languages, scenarios, and topics. We support English (US/UK/...), Chinese (Mandarin/Dialects), Japanese, Spanish (LATAM) ... and different topics in education, finance, legal, healthcare, entertainment, retail, and customer service.
Data Pipeline
Instead of relying solely on opensource voice AI models, such as Whisper model for ASR, to generate labels, we employ a proprietary data pipeline that ensures high-quality, validated labels through a human-in-the-loop process. If you're a mid to large-sized company interested in integrating our data pipeline into your system, please don't hesitate to reach out to us.
| Category | Olewave | Legacy | Free |
|---|---|---|---|
| Configurable Labels | ★★★★★ | N/A | N/A |
| Data Quantity | 1k - 10M hrs | <10k hrs | <100k hrs |
| Label Quality | ★★★★★ | ★★★★☆ | ★★☆☆☆ |
| Data Coverage | ★★★★☆ | ★★★☆☆ | ★★☆☆☆ |
| Data Naturalness | ★★★★☆ | ★★★☆☆ | ★★☆☆☆ |
| Cost-Effectiveness | ★★★★★ | ★★★★☆ | ★★★☆☆ |