Streaming Translation and Transcription Through Speech-to-Text Causal Alignment
Streaming Translation and Transcription Through Speech-to-Text Causal Alignment explores Hikari is an end-to-end model for simultaneous speech-to-text translation and streaming transcription that improves quality-latency trade-offs.. Commercial viability score: 3/10 in Speech Translation.
Updated 2 days ago
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 WorkTASTE-Streaming: Towards Streamable Text-Aligned Speech Tokenization and Embedding for Spoken Language ModelingViability: 3.0
- Prior WorkEnsemble Self-Training for Unsupervised Machine TranslationViability: 3.0
- Higher ViabilityExPosST: Explicit Positioning with Adaptive Masking for LLM-Based Simultaneous Machine TranslationViability: 7.0
- Higher ViabilityGradient-Informed Training for Low-Resource Multilingual Speech TranslationViability: 7.0
- Higher ViabilityBilingual Text-to-Motion Generation: A New Benchmark and Baselines