thread/hyprvoice
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat: models test and fixes

Browse Source
This commit is contained in:
leonardotrapani
2026-02-02 01:13:33 +01:00
parent 2729882b9d
commit 195f9f5115
34 changed files with 507 additions and 154 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/config.md
+21 -15
View File
@@ -108,10 +108,12 @@ language = "" # Empty for auto-detect, or "en", "es", "fr", et
Transcription using Mistral's Voxtral API, excellent for European languages:
Note: Mistral's API supports streaming responses, but it is not real-time audio streaming. Hyprvoice treats Voxtral as batch-only.
```toml
[transcription]
provider = "mistral-transcription"
model = "voxtral-mini-latest" # Or "voxtral-mini-2507"
model = "voxtral-mini-latest"
language = "" # Empty for auto-detect
```
@@ -122,7 +124,7 @@ Transcription using ElevenLabs' Scribe API with 57+ language support:
```toml
[transcription]
provider = "elevenlabs"
model = "scribe_v1" # Or "scribe_v2" for lower latency
model = "scribe_v1" # Or "scribe_v2" for lower latency (batch)
language = "" # Empty for auto-detect
```
@@ -148,9 +150,9 @@ language = "" # Empty for auto-detect
**Features:**
- All models are streaming-only
- Nova-3: 42 languages, best accuracy
- Nova-2: 33 languages, faster with filler word detection
- Flux: streaming-only, English with turn detection
- Nova-3: 42 languages, best accuracy (batch+streaming)
- Nova-2: 33 languages, faster with filler word detection (batch+streaming)
- Excellent for real-time transcription and live captions
### Local Transcription (whisper-cpp)
@@ -182,7 +184,10 @@ threads = 0 # 0 = auto (uses NumCPU - 1)
| `base` | 142MB | 57 languages | Daily multilingual use |
| `small` | 466MB | 57 languages | Better multilingual |
| `medium` | 1.5GB | 57 languages | Great accuracy |
| `large-v1` | 2.9GB | 57 languages | Best accuracy |
| `large-v2` | 2.9GB | 57 languages | Best accuracy |
| `large-v3` | 3GB | 57 languages | Best accuracy |
| `large-v3-turbo` | 1.6GB | 57 languages | Faster large-v3 |
**Threads configuration:**
@@ -195,12 +200,13 @@ threads = 0 # 0 = auto (uses NumCPU - 1)
For real-time transcription, use streaming models:
```toml
# ElevenLabs streaming
# ElevenLabs streaming (realtime only)
[transcription]
provider = "elevenlabs"
model = "scribe_v1-streaming" # Or "scribe_v2-streaming" for <150ms latency
model = "scribe_v2_realtime"
streaming = true
# Deepgram streaming (all models are streaming)
# Deepgram streaming (all models support streaming)
[transcription]
provider = "deepgram"
model = "nova-3"
@@ -215,8 +221,8 @@ model = "gpt-4o-realtime-preview"
| Provider | Model | Latency | Languages |
|----------|-------|---------|-----------|
| ElevenLabs | `scribe_v1-streaming` | Low | 57+ |
| ElevenLabs | `scribe_v2-streaming` | <150ms | 57+ |
| ElevenLabs | `scribe_v2_realtime` | <150ms | 57+ |
| Deepgram | `flux-general-en` | Very Low | en |
| Deepgram | `nova-3` | Low | 42 |
| Deepgram | `nova-2` | Very Low | 33 |
| OpenAI | `gpt-4o-realtime-preview` | Low | 57 |
@@ -257,7 +263,6 @@ Some models only support English. When configuring via `hyprvoice configure`, on
| Provider | Model |
|----------|-------|
| Groq | `distil-whisper-large-v3-en` |
| whisper-cpp | `tiny.en`, `base.en`, `small.en`, `medium.en` |
**Deepgram models** support fewer languages than the full 57 - see [providers.md](./providers.md#deepgram-language-support).
@@ -270,8 +275,8 @@ Some models only support English. When configuring via `hyprvoice configure`, on
```toml
# This combination will be rejected at validation:
[transcription]
provider = "groq-transcription"
model = "distil-whisper-large-v3-en" # English only!
provider = "whisper-cpp"
model = "base.en" # English only!
language = "es" # Error: model does not support Spanish
```
@@ -622,8 +627,9 @@ You can customize notification text via the `[notifications.messages]` section:
api_key = "..."
[transcription]
provider = "elevenlabs"
model = "scribe_v2-streaming" # <150ms latency
provider = "elevenlabs"
model = "scribe_v2_realtime" # <150ms latency
streaming = true
language = "" # Auto-detect
[llm]