arXiv CS
open access
Steerspeech: Activation Steering For Emotion Control In Generated Speech
Pretrained text-to-speech (TTS) models can generate expressive speech, but reliable inference-time emotion control remains challenging: prompts and reference audio offer coarse, inconsistent control, whereas specialized conditioning and model adaptation require costly training. We present SteerSpeec
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Steerspeech: Activation Steering For Emotion Control In Generated Speech#1234840
- TargetSEC: Plug-and-Play In-the-Wild Speech Emotion Conversion via Arousal-Conditioned Latent Style Diffusion#266187
- SEER: Source-Conditioned Emotion Enhancement via Retrieval for Cochlear-Implant Speech#1248058
- Sequential Trajectories and Simultaneous Blending: Multi-Emotion Modeling for Instruction-Following TTS#799537
- Sequential Trajectories and Simultaneous Blending: Multi-Emotion Modeling for Instruction-Following TTS#798114
Record · ID 1227329
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive