Speech model family

TwiField Speech

TwiField Speech investigates speech recognition and generation for Asante Twi, Akuapem Twi, Ghanaian English and agricultural code-switching.

Research programInternal
Type
Low-resource speech and voice model family
Version
Research program
Record updated
2026
Research program

Specifications, performance results and access information will be published after internal and external evaluation.

00 / Overview

Low-resource speech and voice model family

TwiField Speech investigates speech recognition and generation for Asante Twi, Akuapem Twi, Ghanaian English and agricultural code-switching.

01 / Status

Research lifecycle and evidence basis.

Research programInternal

This record does not represent an open release or commercial deployment unless that lifecycle status is stated explicitly.

02 / Intended capabilities

Capabilities under investigation.

  • Field speech recognition
  • Tonal-language modeling
  • Agricultural code-switching
  • Clarification and misunderstanding detection
  • Voice-directed field workflows

03 / Research objective

Research objective

Develop field-oriented speech interfaces that preserve uncertainty, request clarification and work under constrained connectivity.

04 / Inputs

Inputs

  • Consented speech
  • Task context
  • Language and dialect metadata
  • Environmental audio conditions

05 / Outputs

Outputs

  • Proposed transcription
  • Confidence signal
  • Clarification request
  • Generated speech where appropriate

06 / Architecture overview

Architecture overview

Architecture selection remains under investigation and no fixed specification is public.

07 / Training approach

Training approach

The intended approach includes consent-based collection, lexicon work, human review and evaluation across real field audio conditions.

08 / Data provenance

Data provenance

No speech dataset is publicly released. Consent, speaker rights, permitted uses and deletion processes must precede any release.

09 / Evaluation

Evaluation

Planned evaluation includes recognition across speakers and conditions, code-switching, clarification behavior and downstream task completion.

10 / Known limitations

Known limitations

  • Research program only
  • Dialect and speaker coverage remain subject to evaluation
  • No public speech benchmark is claimed

11 / Safety considerations

Safety considerations

The system should surface uncertainty and avoid silently converting ambiguous speech into consequential physical actions.

12 / Intended use

Intended use

Research on low-resource field speech and human-machine clarification.

13 / Out-of-scope use

Out-of-scope use

Surveillance, speaker identification, or consequential action without confirmation.

14 / Access and licensing

Access and licensing

Specifications, performance results and access information will be published after internal and external evaluation.

15 / Technical report

Technical report

Technical report forthcoming. No public report is available.

16 / Citation

Citation

Citation information is not yet available.

17 / Version history

Version history

Research program record. No public version has been issued.

18 / Responsible disclosure

Responsible disclosure

Potential safety, privacy or security concerns may be reported to hello@sinuosity.ai.