huggingface/speech-to-speech
Build local voice agents with open-source models
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 87%Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study →
“Fuzzy title match (0.94): “Comparing Human and Automatic Recognition of Dutch Dysarthri” ≈ “huggingface/speech-to-speech””
- FuzzySimilar title/name (fuzzy) · 87%RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain →
“Fuzzy title match (0.94): “RABBiT: Rapidly adaptive BOLD foundation model via brain-tun” ≈ “huggingface/speech-to-speech””
- FuzzySimilar title/name (fuzzy) · 87%Benchmarking Human and Automatic Speech Recognition of Diverse Speech: Initial Results →
“Fuzzy title match (0.94): “Benchmarking Human and Automatic Speech Recognition of Diver” ≈ “huggingface/speech-to-speech””
- FuzzySimilar title/name (fuzzy) · 87%Content is What Remains: Invariant Speech Tokenization from Parallel Utterances →
“Fuzzy title match (0.94): “Content is What Remains: Invariant Speech Tokenization from ” ≈ “huggingface/speech-to-speech””
- FuzzySimilar title/name (fuzzy) · 87%Improving multichannel speech enhancement through accurate room-acoustic simulations →
“Fuzzy title match (0.94): “Improving multichannel speech enhancement through accurate r” ≈ “huggingface/speech-to-speech””
- FuzzySimilar title/name (fuzzy) · 87%DONDO: Open w2v-BERT Speech-Recognition Base Models for African Languages →
“Fuzzy title match (0.94): “DONDO: Open w2v-BERT Speech-Recognition Base Models for Afri” ≈ “huggingface/speech-to-speech””
- FuzzySimilar title/name (fuzzy) · 87%Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection →
“Fuzzy title match (0.94): “Motor, Cognitive, or Corpus? What Survives Cross-Lingual Tra” ≈ “huggingface/speech-to-speech””
- PossiblePossibly related (embedding) · 61%Looking for open-source AI meeting note-takers (like Fathom, Fireflies, Notion AI) →
