Update README.md

README.md

@@ -3,6 +3,8 @@ language:
 - en
 tags:
 - JETS
+- LightSpeech
+- MB-MelGAN
 - Text-to-Speech
 datasets:
 - CMUArctic
@@ -12,14 +14,30 @@ pipeline_tag: text-to-speech
 
 # TTS Models
 
-Here you can find models compatible with
-[balacoon_tts](https://balacoon.com) python package.
-You can check interactive demo and models usage example in
+Here you can find models compatible with [Balacoon software](https://balacoon.com).
+There are several model types to be aware of:
+
+* `*_jets_cpu.addon` - JETS models for synthesis on CPU, compatible with
+  [balacoon_tts](https://gemfury.com/balacoon/python:balacoon-tts) python package.
+  A tutorial on how to use it can be found [here](https://balacoon.com/use/tts/package).
+  Those are high-end models, producing 24khz audio.
+* `*_light_cpu.addon` - Light models for lightning-fast synthesis on-device.
+  Usage is the same as of JETS models, but the naturalness of synthesized audio is compromised
+  in favor of speed. Models produce 16khz audio.
+* `*_jets_gpu.addon` - JETS models for synthesis on GPU, compatible with
+  [balacoon/tts_server](https://hub.docker.com/r/balacoon/tts_server) docker image.
+  A tutorial on how to use it can be found [here](https://balacoon.com/use/tts/service).
+  Exactly the same as jets_cpu models, but repacked for GPU.
+
+You can check the interactive demo
 [balacoon/tts](https://huggingface.co/spaces/balacoon/tts) space.
 
-List of available models:
+# List of available models
 
-- <mark>en_us_cmuartic_jets_cpu.addon</mark> en-US TTS trained
-  on all 18 speakers of [CMUArtic databases](http://festvox.org/cmu_arctic/).
-- <mark>en_us_hifi_jets_cpu.addon</mark> en-US TTS trained
-  on all 10 speakers of [Hi-Fi audiobooks dataset](https://arxiv.org/abs/2104.01497).
+- en-US locale
+  - [CMUArtic databases](http://festvox.org/cmu_arctic/)
+    - <mark>en_us_cmuartic_jets_cpu.addon</mark>
+    - <mark>en_us_cmuartic_jets_gpu.addon</mark>
+  - [Hi-Fi audiobooks dataset](https://arxiv.org/abs/2104.01497)
+    - <mark>en_us_hifi_jets_cpu.addon</mark>
+    - <mark>en_us_hifi92_light_cpu.addon</mark> - trained only on "92" speaker