Lahat ng klase ng exploration ginawa ko na. Ito, pambahay lang para may mabutingting he he. Limited lang akong mag-test pag malalaki na ang models. Yung ganito kaya pa. Mas maganda gawin mo silang local api server, para madaling gamitin sa kahit anong AI UI na may TTS integration. OpenAI compatible api naman halos lahat dyan.
Ang di ko nabanggit, sa Kokoro-TTS naiintindihan niya yung pause tags atbp., pero sa ibang TTS check nyo muna sa docs nila kung meron silang ganyang feature. di lahat meron nyan - SSML or inline tags.
Comparison Table: Open Source TTS Engines
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Log in or register now. | Natural language tags like [pause] | Free-form inline tags (e.g., [excited], [whisper]) | High-quality, E×ρréššive narration |
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Log in or register now. | Fine-grained control over pauses | Supports interjections like [laughter], [sighs], and [laughs] | Conversational AI and dialogue |
| Piper | Support for <break> tags in newer versions | Limited; focuses on speed and offline efficiency | Fast, low-resource IoT/Edge devices |
| IndexTTS-2 | Precise duration control for video dubbing | Disentangled control over timbre and emotion via prompts | Video dubbing and duration-specific tasks |
| Bark | Uses non-verbal cues for natural pauses | Generates non-speech sounds (laughs, sighs) and music | Creative and E×ρréššive "text-to-audio" |
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Log in or register now. | Engine-dependent (XTTS-v2 supports styles) | Supports emotion/style transfer in XTTS-v2 | Production apps needing |
| Kokoro-TTS | Uses punctuation (;:,.!?) for natural pacing. Specific [1s] or PAUSE tags are supported via wrappers like Kokoro-FastAPI. | Supports custom phonemes like [Kokoro](/kˈOkəɹO/) and stress marks (ˈ, ˌ) to manually adjust intonation. | Lightweight (82M params) and extremely fast. |
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Log in or register now. | Supports custom tags like [pause] (1s) or [pause:ms] for specific millisecond durations through its official and community wrappers. | Leverages an LLM (Qwen2.5) to maintain natural prosody and "turn-taking" over long-form conversations up to 90 minutes. | Optimized for multi-speaker (up to 4) "podcast-style" audio. |
Dagdag ko itong guide sa vibevoice na galing Comfy:
VibeVoice: Tag Configuration
VibeVoice supports two primary tags for controlling audio pacing and E×ρréššion. These are typically handled by community wrappers like VibeVoice-Athena or
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Log in or register now. which parse these markers before processing.
- Pause Tags:
- [pause]: Inserts a default 1-second silence.
- [pause:ms]: Inserts a custom duration in milliseconds (e.g., [pause:500] for half a second).
- Tone Tags: You can influence prosody by adding [tone:STYLE] before a sentence.
- Supported styles: excited, calm, sad, whisper, shout, and curious.
Example Input Script:
Code:
Speaker 1: [tone:calm] Welcome to the demonstration. [pause]
Speaker 2: [tone:excited] It is great to be here! [pause:1500]
Speaker 1: [tone:whisper] Let's keep this between us.
Check mo na lang yung iba pa sa docs.
At least dyan meron ka ng idea.
Note: Dyan sa 2-speaker script, automatic na mag-assign yang vibevoice ng voice model. Kung custom voice ang gusto mo gagamit ka ng zero-shot cloning by assigning sample wav files specific for the speaker/s you want. Magagawa mo yan using their realtime_model_inference_from_file.py script.
Ito yung sample bash provided kung nasa working folder ka sa cmd:
Code:
python demo/realtime_model_inference_from_file.py \
--model_path microsoft/VibeVoice-Realtime-0.5B \
--txt_path sample.txt \
--speaker_name "Alice" \
--output_dir ./outputs
Di ko pa nasubukan, pero i trust this will work.
Halos ganyan din yung procedure sa ibang TTS engines unless gagamit ka ng prefessional grade UI's like
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Log in or register now. para medyo iwas manu-mano he he..
PH