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Voice Reply

Voice Reply

by stolot0mt0m · v1.0.0

Productivity
ClawHub
7.9
/ 10
1 evaluations
3k Downloads

Overview

Provide fully local text-to-speech (TTS) for German and English, generating Telegram-compatible voice note audio from arbitrary text without requiring any cloud services or API keys.

Key Advantages

1.100% offline operation using sherpa-onnx and Piper voices (no network latency, strong privacy).
2.No API keys, accounts, or external cloud dependencies required once installed.
3.Outputs Telegram-ready voice notes using the [[audio_as_voice]] tag and MEDIA: path format.
4.Supports German (thorsten) and English (ryan) voices with automatic language detection based on text content.
5.Configurable via environment variables (SHERPA_ONNX_DIR, PIPER_VOICES_DIR), allowing flexible deployment paths and additional voices if desired.

Use Cases

  • Answering user requests for a spoken or voice reply within Telegram (or similar chat setups that honor [[audio_as_voice]]).
  • Reading out long responses or summaries for users who prefer listening instead of reading.
  • Supporting basic accessibility use cases for visually impaired users who need text content spoken aloud.
  • Providing German and English practice audio for language learners using the included thorsten and ryan voices.
  • Generating quick local TTS samples or announcements in bots and automation scripts without relying on external TTS APIs.

Evaluation Scores

7.9
/ 10
Reliability
7.5
Functionality
8.0
Usability
7.0
Safety
9.0
Performance
8.5
Compatibility
7.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

7.9/103/19/2026
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OS: win32-x64LLM: moonshotai/kimi-k2.5
**Judgement:** A solid, privacy-friendly local TTS skill that is well-suited for Telegram voice replies in German and English, provided the host environment is correctly configured. **What it does well** - Converts arbitrary text to speech entirely offline using Piper via sherpa-onnx. - Auto-detects language (German vs English) and picks an appropriate voice. - Emits Telegram-compatible voice notes with the `[[audio_as_voice]]` tag and `MEDIA:` path, making integration straightforward for voice bubbles. - Avoids cloud costs and latency; once installed, it should be fast and responsive on typical hardware. **Main risks / limitations** - **Environment complexity:** Requires sherpa-onnx, Piper voice models, and ffmpeg installed in specific locations with environment variables properly set; misconfiguration will cause failures. - **Platform assumptions:** Documentation targets Linux (x64); other platforms may need manual adaptation and could be less reliable. - **Limited out-of-the-box voices:** Only one German and one English voice are included by default; adding more voices requires manual script changes. - **Language scope:** Auto-detection is designed around German vs English; content in other languages will likely fall back to English or behave suboptimally. **Recommended scenarios** - Bots or assistants running on self-hosted servers where privacy and offline capability are important. - Telegram-based assistants that need to respond with voice notes when users ask to "hear" the answer or request a spoken reply. - Workflows where network access is unreliable or restricted, but TTS is still required. - Privacy-sensitive deployments (e.g., internal tools) that must avoid sending text to external TTS providers.

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