{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"hf-space-tonyassi--voice-clone","slug":"tonyassi--voice-clone","name":"voice-clone","type":"webapp","url":"https://huggingface.co/spaces/tonyassi/voice-clone","page_url":"https://unfragile.ai/tonyassi--voice-clone","categories":["voice-audio"],"tags":["gradio","region:us"],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"hf-space-tonyassi--voice-clone__cap_0","uri":"capability://text.generation.language.speaker.agnostic.voice.cloning.from.audio.samples","name":"speaker-agnostic voice cloning from audio samples","description":"Synthesizes speech in a target speaker's voice by analyzing acoustic characteristics (pitch, timbre, prosody) from reference audio samples and applying those patterns to new text input. Uses deep learning models trained on multi-speaker datasets to extract speaker embeddings that decouple content from speaker identity, enabling zero-shot or few-shot voice adaptation without speaker-specific fine-tuning.","intents":["Clone a specific person's voice from a short audio sample to generate new speech","Create consistent character voices for game dialogue or animation without hiring voice actors","Generate personalized audiobook narration in a user's own voice","Build accessibility tools that preserve a user's voice after speech loss"],"best_for":["content creators building personalized audio experiences","game developers needing diverse character voices without voice actor budgets","accessibility engineers building assistive speech synthesis","researchers prototyping voice conversion and speaker adaptation techniques"],"limitations":["Quality degrades with reference audio under 5-10 seconds or poor audio quality (background noise, compression artifacts)","Cannot preserve fine-grained emotional nuance or speech impediments from reference samples","Inference latency typically 5-30 seconds depending on text length and model size","No built-in speaker verification — cannot prevent unauthorized voice cloning of real individuals","Output speech naturalness varies significantly based on target language and phonetic coverage of training data"],"requires":["Audio file in WAV, MP3, or OGG format (minimum 3 seconds, ideally 10-30 seconds for quality)","Text input in supported language (typically English, with multilingual models available)","Modern browser with WebGL support for Gradio interface, or API access via Python/cURL","Internet connection to HuggingFace Spaces or local GPU (NVIDIA CUDA 11.8+ recommended for <5s inference)"],"input_types":["audio (WAV, MP3, OGG, FLAC)","text (plain text, markdown, SSML markup for prosody control)"],"output_types":["audio (WAV or MP3)","streaming audio chunks (for real-time playback)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--voice-clone__cap_1","uri":"capability://tool.use.integration.real.time.audio.input.capture.and.processing.via.web.interface","name":"real-time audio input capture and processing via web interface","description":"Captures live microphone input through the browser using the Web Audio API, streams audio frames to the backend inference engine, and returns synthesized speech with minimal buffering. The Gradio framework handles browser-to-server audio transport, codec negotiation, and playback synchronization without requiring manual WebSocket or WebRTC plumbing.","intents":["Record a voice sample directly in the browser without downloading/uploading files","Test voice cloning interactively with immediate audio feedback","Build conversational voice cloning demos without backend audio infrastructure"],"best_for":["demo builders and researchers prototyping voice synthesis UX","non-technical users testing voice cloning without CLI or Python knowledge"],"limitations":["Browser microphone access requires HTTPS and explicit user permission (blocks HTTP deployments)","Audio quality capped by browser codec support and network bandwidth (typically 16kHz mono or 48kHz stereo)","No built-in noise suppression or voice activity detection — background noise directly impacts cloning quality","Latency includes browser→server round-trip (typically 100-500ms) plus inference time"],"requires":["Modern browser with Web Audio API support (Chrome 25+, Firefox 25+, Safari 14.1+)","HTTPS connection (or localhost for development)","Microphone hardware and browser permission grant","Stable internet connection (minimum 1 Mbps for real-time audio streaming)"],"input_types":["audio stream (PCM, 16-bit, 16kHz or 48kHz)"],"output_types":["audio stream (synthesized speech, playable in browser)"],"categories":["tool-use-integration","audio-capture"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--voice-clone__cap_2","uri":"capability://text.generation.language.multi.language.text.to.speech.synthesis.with.speaker.adaptation","name":"multi-language text-to-speech synthesis with speaker adaptation","description":"Accepts text input in multiple languages and synthesizes speech using the cloned speaker's voice characteristics while respecting language-specific phonetics and prosody patterns. The underlying model likely uses a language-agnostic speaker encoder combined with language-specific acoustic models or a multilingual encoder that maps text to mel-spectrograms while conditioning on speaker embeddings.","intents":["Generate speech in multiple languages using the same cloned voice for consistency","Create multilingual audiobooks or game dialogue with a single voice actor","Build voice cloning tools that serve global audiences without language barriers"],"best_for":["content creators working with multilingual audiences","game studios localizing dialogue across regions","accessibility teams building multilingual assistive speech"],"limitations":["Voice quality and accent preservation varies by language — some languages may sound less natural than others","Phonetic coverage limited to languages in training data (typically 10-50 languages depending on model)","No explicit language detection — requires manual language specification or SSML markup","Prosody patterns may not transfer perfectly across languages with different stress/intonation systems"],"requires":["Text input with explicit language tag or SSML markup","Reference audio sample in any supported language (speaker characteristics are language-agnostic)","Model trained on multilingual data (e.g., VCTK, LibriTTS, or proprietary datasets)"],"input_types":["text (plain text, SSML with language tags)"],"output_types":["audio (synthesized speech in target language)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--voice-clone__cap_3","uri":"capability://data.processing.analysis.inference.time.speaker.embedding.extraction.and.conditioning","name":"inference-time speaker embedding extraction and conditioning","description":"Extracts a fixed-dimensional speaker embedding vector from reference audio at inference time without requiring model retraining or fine-tuning. The embedding captures speaker-specific acoustic characteristics (pitch range, formant frequencies, speaking rate) in a learned latent space, which is then concatenated or fused with linguistic features to condition the acoustic model during synthesis.","intents":["Clone a new speaker's voice instantly without training or fine-tuning","Support arbitrary speaker voices without pre-computing embeddings","Enable zero-shot voice adaptation for any audio sample"],"best_for":["researchers exploring speaker adaptation and voice conversion","product teams needing instant voice cloning without model retraining","systems requiring support for unlimited speaker identities"],"limitations":["Embedding quality depends on reference audio length and quality — short clips (<3s) produce noisy embeddings","Speaker encoder generalization limited to acoustic space covered by training data","No explicit speaker verification — embeddings from different speakers may overlap in latent space","Embedding extraction adds 0.5-2 seconds latency per reference audio sample"],"requires":["Pre-trained speaker encoder model (e.g., GE2E, ECAPA-TDNN, or proprietary)","Reference audio sample (minimum 3 seconds, ideally 10-30 seconds)","Acoustic model conditioned on speaker embeddings (e.g., Tacotron2 with speaker conditioning, FastPitch, Glow-TTS)"],"input_types":["audio (reference sample for embedding extraction)"],"output_types":["embedding vector (fixed-dimensional, typically 256-512 dimensions)"],"categories":["data-processing-analysis","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--voice-clone__cap_4","uri":"capability://tool.use.integration.gradio.based.interactive.web.ui.with.audio.upload.and.playback","name":"gradio-based interactive web ui with audio upload and playback","description":"Provides a browser-based interface built with Gradio framework that handles file upload, form submission, and audio playback without custom HTML/CSS/JavaScript. Gradio automatically generates the UI from Python function signatures, manages client-server communication via HTTP/WebSocket, and handles audio codec conversion and streaming.","intents":["Upload audio files and text for voice cloning without command-line tools","Listen to synthesized output directly in the browser","Share voice cloning demos via public URLs without hosting infrastructure"],"best_for":["researchers and developers building quick demos","non-technical users testing voice cloning","teams deploying on HuggingFace Spaces or similar platforms"],"limitations":["Gradio abstractions add ~50-200ms latency per request due to serialization and HTTP overhead","Limited customization of UI styling and layout compared to custom React/Vue frontends","File upload size limited by Gradio/Spaces configuration (typically 100MB-1GB)","No built-in authentication or rate limiting — public Spaces are accessible to all users","Concurrent request handling limited by backend resource constraints (single GPU typically handles 1-3 concurrent requests)"],"requires":["Python 3.7+","Gradio library (pip install gradio)","HuggingFace Spaces account for deployment (or local Python environment)","Backend inference engine (PyTorch, TensorFlow, or ONNX runtime)"],"input_types":["audio file (WAV, MP3, OGG)","text (plain text input)"],"output_types":["audio file (WAV or MP3)","text (status messages, error logs)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--voice-clone__cap_5","uri":"capability://automation.workflow.batch.text.to.speech.synthesis.with.speaker.consistency","name":"batch text-to-speech synthesis with speaker consistency","description":"Processes multiple text inputs sequentially or in parallel, synthesizing speech for each using the same cloned speaker voice to maintain acoustic consistency across outputs. The speaker embedding is computed once from the reference audio and reused across all synthesis requests, avoiding redundant embedding extraction and ensuring identical speaker characteristics.","intents":["Generate multiple audio clips for a game or audiobook chapter using the same voice","Create batch audiobook narration without manual speaker consistency management","Build voice cloning pipelines that process large text corpora efficiently"],"best_for":["content creators producing large volumes of audio","game studios generating dialogue for multiple characters","audiobook publishers automating narration"],"limitations":["Batch processing adds queuing latency — requests may wait for GPU availability","No built-in progress tracking or job status monitoring","Memory constraints limit batch size on single GPU (typically 4-16 concurrent requests)","No automatic retry or error recovery for failed synthesis requests","Output audio files must be manually managed or stored in external storage"],"requires":["Multiple text inputs (as list or file)","Single reference audio sample for speaker embedding","Backend with sufficient GPU memory for batch processing (8GB+ VRAM recommended)"],"input_types":["text list (multiple text inputs)"],"output_types":["audio files (one per text input)"],"categories":["automation-workflow","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"low","permissions":["Audio file in WAV, MP3, or OGG format (minimum 3 seconds, ideally 10-30 seconds for quality)","Text input in supported language (typically English, with multilingual models available)","Modern browser with WebGL support for Gradio interface, or API access via Python/cURL","Internet connection to HuggingFace Spaces or local GPU (NVIDIA CUDA 11.8+ recommended for <5s inference)","Modern browser with Web Audio API support (Chrome 25+, Firefox 25+, Safari 14.1+)","HTTPS connection (or localhost for development)","Microphone hardware and browser permission grant","Stable internet connection (minimum 1 Mbps for real-time audio streaming)","Text input with explicit language tag or SSML markup","Reference audio sample in any supported language (speaker characteristics are language-agnostic)"],"failure_modes":["Quality degrades with reference audio under 5-10 seconds or poor audio quality (background noise, compression artifacts)","Cannot preserve fine-grained emotional nuance or speech impediments from reference samples","Inference latency typically 5-30 seconds depending on text length and model size","No built-in speaker verification — cannot prevent unauthorized voice cloning of real individuals","Output speech naturalness varies significantly based on target language and phonetic coverage of training data","Browser microphone access requires HTTPS and explicit user permission (blocks HTTP deployments)","Audio quality capped by browser codec support and network bandwidth (typically 16kHz mono or 48kHz stereo)","No built-in noise suppression or voice activity detection — background noise directly impacts cloning quality","Latency includes browser→server round-trip (typically 100-500ms) plus inference time","Voice quality and accent preservation varies by language — some languages may sound less natural than others","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.36,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.325Z","last_scraped_at":"2026-05-03T14:22:48.012Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=tonyassi--voice-clone","compare_url":"https://unfragile.ai/compare?artifact=tonyassi--voice-clone"}},"signature":"17EWBhPNoQFmtkhFfpW4/s5PO3gmT3T1eUd77wBIuHP/W5Lcb5S/x4uo8XQzXh8A/3QEZsDQOnF2fjQPpjKJAA==","signedAt":"2026-06-20T04:53:29.299Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/tonyassi--voice-clone","artifact":"https://unfragile.ai/tonyassi--voice-clone","verify":"https://unfragile.ai/api/v1/verify?slug=tonyassi--voice-clone","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}