Bananamind Tts GGUF

--- license: apache-2.0 base_model: Banaxi-Tech/BananaMind-TTS-V2.1-Preview tags: - text-to-speech - tts - tacotron - hifigan - gguf - crispasr language: - en - de pipeline_tag: text-to-speech --- # BananaMind-TTS-V2.1 — GGUF GGUF quantized versions of [Banaxi-Tech/BananaMind-TTS-V2.1-Preview](https://huggingface.co/Banaxi-Tech/BananaMind-TTS-V2.1-Preview) for use with [CrispASR](https://github.com/CrispStrobe/CrispASR). ## Model overview BananaMind-TTS-V2.1 is a lightweight Tacotron-lite text-to-speech model (13M params) with a HiFi-GAN vocoder. Character-based tokenizer, 22050 Hz mono output, fixed voice per locale. **Architecture:** Embedding → 3× Conv1d+BatchNorm+ReLU → BiLSTM encoder → autoregressive GRU decoder with location-sensitive attention → 5-layer postnet → HiFi-GAN vocoder. **Locales:** English (en-us, trained on LJ Speech) and German (de-de, trained on ThorstenVoice). ## Files | File | Locale | Quant | Size | |------|--------|-------|------| | `bananamind-tts-en-q8_0.gguf` | English | Q8_0 | ~39 MB | | `bananamind-tts-de-q8_0.gguf` | German | Q8_0 | ~39 MB | | `bananamind-tts-en-f32.gguf` | English | F32 | ~50 MB | | `bananamind-tts-de-f32.gguf` | German | F32 | ~50 MB | Q8_0 is recommended for most use cases — negligible quality loss vs F32 at 22% smaller size. ## Usage with CrispASR ```bash # English crispasr -m bananamind-tts-en-q8_0.gguf \ --tts "This is BananaMind TTS version two point one." \ --tts-output output.wav # German crispasr -m bananamind-tts-de-q8_0.gguf \ --tts "Hallo, das ist BananaMind TTS Version zwei Punkt eins." \ --tts-output output_de.wav ``` Auto-detection works — no `--backend` flag needed. ### Python ```python import crispasr session = crispasr.Session("bananamind-tts-en-q8_0.gguf") pcm = session.synthesize("Hello, world!") session.save_wav("output.wav", pcm) ``` ## Conversion Converted from the original safetensors using: ```bash python models/convert-bananamind-tts-to-gguf.py \ --model Banaxi-Tech/BananaMind-TTS-V2.1-Preview \ --locale en-us --ftype f32 \ --output bananamind-tts-en-f32.gguf crispasr-quantize bananamind-tts-en-f32.gguf bananamind-tts-en-q8_0.gguf q8_0 ``` ## Environment variables | Variable | Description | |----------|-------------| | `CRISPASR_BANANAMIND_DEBUG=1` | Per-step decoder diagnostics (attention index, stop probability, mel range) | | `BANANAMIND_TTS...

Source context: 817 downloads · 4 likes · Pipeline text-to-speech · Repo cstr/bananamind-tts-GGUF