TiCo: Time-Controllable Training for Spoken Dialogue Models
TiCo: Time-Controllable Training for Spoken Dialogue Models explores A post-training method to enable spoken dialogue models to control response duration for improved voice assistant interaction.. Commercial viability score: 5/10 in Spoken Dialogue Models.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisTTCS: Test-Time Curriculum Synthesis for Self-EvolvingViability: 4.0
- Builds On ThisTIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM AgentsViability: 3.0
- Builds On ThisGameTalk: Training LLMs for Strategic ConversationViability: 3.0
- Higher ViabilityLong-term Task-oriented Agent: Proactive Long-term Intent Maintenance in Dynamic EnvironmentsViability: 7.0
- Higher ViabilityCoCo: Code as CoT for Text-to-Image Preview and Rare Concept GenerationViability: 8.0