SLM-SS: Speech Language Model for Generative Speech Separation | ScienceToStartup | ScienceToStartup

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References (25)

[1]

SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation

2025Zhaoxi Mu, Xinyu Yang et al.

[2]

UniSep: Universal Target Audio Separation with Language Models at Scale

2025Yuanyuan Wang, Hangting Chen et al.

[3]

FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration

Founder's Pitch

"Enhance speech intelligibility in separation tasks using speech language models for improved downstream task performance."

Speech Technology•Score: 6•View PDF ↗

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SLM-SS: Speech Language Model for Generative Speech Separation

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References (25)

Founder's Pitch

"Enhance speech intelligibility in separation tasks using speech language models for improved downstream task performance."

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SLM-SS: Speech Language Model for Generative Speech Separation

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References (25)

Founder's Pitch

"Enhance speech intelligibility in separation tasks using speech language models for improved downstream task performance."

Commercial Viability Breakdown

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