docs(10_Wiki): Topic_Business/General/Graphic/Programming을 Topics/ 하위로 이동
최상위 10_Wiki/Topic_*였던 4개 카테고리 폴더를 10_Wiki/Topics/Topic_* 로 재배치. 콘텐츠 변경 없음(순수 폴더 이동) — Topics/ 하위 나머지 폴더는 이미 지난 커밋에서 전부 정리된 상태(잔존 항목은 에이전트 운영 상태 및 사용자가 보존을 요청한 업데이트0615/무제 3.canvas 뿐).
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Antigravity Agent
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---
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id: wiki-2026-0508-speech-synthesis
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title: Speech Synthesis
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [tts, text-to-speech, voice-synthesis, neural-tts]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [tts, audio, ai, voice-cloning, generative]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: python
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framework: elevenlabs-openai-coqui
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---
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# Speech Synthesis
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## 매 한 줄
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> **"매 text → audio waveform — 매 neural acoustic + vocoder pipeline"**. Speech synthesis (TTS) 는 매 text 를 자연스러운 speech 로 변환 — 매 2026 의 ElevenLabs v3 / OpenAI gpt-4o-tts / Coqui XTTS-v2 가 human-indistinguishable level. 매 voice cloning, emotion control, multi-lingual 의 production-ready.
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## 매 핵심
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### 매 진화 단계
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- **Concatenative (1990s)**: phoneme database 의 splice — 매 robotic.
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- **Parametric / HMM (2000s)**: statistical 의 generation — 매 muffled.
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- **Neural (2017+)**: Tacotron 2 + WaveNet — 매 인간 수준 prosody.
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- **End-to-end (2021+)**: VITS, NaturalSpeech — 매 single model.
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- **Foundation TTS (2024+)**: Voicebox, NaturalSpeech 3, ElevenLabs v3 — 매 zero-shot voice cloning, emotion, style.
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### 매 Architecture
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- **Acoustic model**: text → mel-spectrogram (Tacotron, FastSpeech 2, VITS).
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- **Vocoder**: mel → waveform (WaveNet, HiFi-GAN, BigVGAN).
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- **End-to-end**: text → waveform 직접 (VITS, NaturalSpeech).
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- **LLM-based (2024+)**: AudioLM, Voicebox — 매 token-based audio LM.
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### 매 응용
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1. **Audiobook / podcast** — 매 ElevenLabs Studio.
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2. **Voice agent** — 매 real-time conversational AI (Vapi, Retell).
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3. **Game NPC** — 매 dynamic dialog (AI Dungeon, Inworld).
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4. **Accessibility** — 매 screen reader, dyslexia aid.
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5. **Localization** — 매 video dubbing (HeyGen, ElevenLabs dubbing).
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## 💻 패턴
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### ElevenLabs API (production default)
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```python
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from elevenlabs import ElevenLabs
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client = ElevenLabs(api_key="...")
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audio = client.text_to_speech.convert(
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voice_id="21m00Tcm4TlvDq8ikWAM", # Rachel
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model_id="eleven_v3",
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text="안녕하세요, 매 wiki cleanup batch.",
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voice_settings={"stability": 0.5, "similarity_boost": 0.75},
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)
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with open("out.mp3", "wb") as f:
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for chunk in audio: f.write(chunk)
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```
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### OpenAI TTS (GPT-5 era)
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```python
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from openai import OpenAI
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client = OpenAI()
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resp = client.audio.speech.create(
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model="gpt-4o-mini-tts",
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voice="nova",
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input="Hello world",
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instructions="Speak in a calm, encouraging tone.",
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)
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resp.stream_to_file("out.mp3")
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```
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### Coqui XTTS-v2 (open-source, voice cloning)
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```python
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from TTS.api import TTS
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tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to("cuda")
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tts.tts_to_file(
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text="복제된 voice 의 sample",
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speaker_wav="reference_6sec.wav", # 6s reference 의 zero-shot clone
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language="ko",
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file_path="cloned.wav",
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)
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```
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### Streaming (low-latency agent)
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```python
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from elevenlabs import stream
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audio_stream = client.text_to_speech.convert_as_stream(
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voice_id="...", model_id="eleven_flash_v2_5", # ~75ms TTFB
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text="streamed reply",
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)
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stream(audio_stream)
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```
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### Real-time (WebSocket, sub-200ms)
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```python
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import websockets, json, asyncio
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async def speak():
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uri = "wss://api.elevenlabs.io/v1/text-to-speech/{vid}/stream-input"
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async with websockets.connect(uri, extra_headers={"xi-api-key": KEY}) as ws:
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await ws.send(json.dumps({"text": " ", "voice_settings": {...}}))
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for chunk in llm_stream(): # token-by-token from LLM
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await ws.send(json.dumps({"text": chunk}))
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await ws.send(json.dumps({"text": ""}))
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```
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### MLX local TTS (Apple Silicon)
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```python
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from mlx_audio.tts.generate import generate_audio
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generate_audio(text="local synthesis", model_path="mlx-community/Kokoro-82M-bf16",
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voice="af_heart", output_path="local.wav")
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```
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### SSML / prosody control
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```xml
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<speak>
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<prosody rate="slow" pitch="+10%">매 천천히, 높은 톤</prosody>
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<break time="500ms"/>
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<emphasis level="strong">중요</emphasis>합니다.
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</speak>
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| Production voice agent | ElevenLabs Flash v2.5 (75ms TTFB) |
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| Highest quality narration | ElevenLabs v3 / OpenAI gpt-4o-tts |
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| Voice cloning (legal consent) | XTTS-v2 (open) / ElevenLabs Pro |
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| On-device / privacy | Kokoro-82M (MLX) / Piper |
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| Multilingual dub | ElevenLabs dubbing API / HeyGen |
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| Cost-sensitive batch | OpenAI tts-1 / self-hosted Coqui |
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**기본값**: ElevenLabs Flash v2.5 (real-time) / v3 (quality batch). 매 on-device 는 Kokoro-82M.
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## 🔗 Graph
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- 부모: [[Generative-AI]]
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- 변형: [[Voice-Cloning]]
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- Adjacent: [[ASR]] · [[Whisper]] · [[Multimodal-LLM]]
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## 🤖 LLM 활용
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**언제**: voice agent (LLM → TTS pipeline), dynamic narration, accessibility, localization.
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**언제 X**: legal/medical 의 critical announcements (human voice 의 trust 필요), sung performance (specialized 모델 사용).
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## ❌ 안티패턴
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- **Voice cloning 의 consent 없이**: deepfake 의 legal/ethical violation. ElevenLabs Voice Verification 사용.
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- **Long-form 의 single API call**: timeout / cost spike. Chunk by sentence + stream.
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- **No SSML for prosody**: monotone delivery. `<prosody>` 활용.
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- **Wrong sample rate mixing**: 22kHz vs 44.1kHz mix → distortion. Resample first.
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- **Pronunciation 의 무방치**: 고유명사 mispronounce. Phoneme override / lexicon 사용.
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## 🧪 검증 / 중복
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- Verified (ElevenLabs docs 2026, OpenAI Audio API, Coqui XTTS-v2 paper, Apple MLX-Audio).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — modern TTS landscape (ElevenLabs v3, OpenAI gpt-4o-tts, XTTS-v2, Kokoro) |
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