TASTE-Streaming: Towards Streamable Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
TASTE-Streaming: Towards Streamable Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling explores TASTE-S is a streamable extension of text-aligned speech tokenization for real-time spoken language modeling.. Commercial viability score: 3/10 in Speech Processing.
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
- Prior WorkBeyond Fixed Frames: Dynamic Character-Aligned Speech TokenizationViability: 3.0
- Prior WorkSpeech LLMs are Contextual Reasoning TranscribersViability: 3.0
- Higher ViabilityProsodic Boundary-Aware Streaming Generation for LLM-Based TTS with Streaming Text InputViability: 5.0
- Higher ViabilityTask-Centric Acceleration of Small-Language ModelsViability: 5.0
- Higher ViabilityBoosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic RewardsViability: 7.0