update csmsc/tts3_rhy

examples/csmsc/tts3_rhy/README.md

@@ -20,7 +20,7 @@ Run the command below to
 3. train the model.
 4. synthesize wavs.
     - synthesize waveform from `metadata.jsonl`.
-    - select vocoder type via `--stage` (0 = pwgan, 1 = hifigan)
+    - select vocoder type via `--stage` (0 = pwgan, 1 = multi band melgan, 3 = hifigan, 4 = wavernn)
     - synthesize waveform from a text file.
 5. inference using the static model.
 ```bash

examples/csmsc/tts3_rhy/run.sh

@@ -33,6 +33,9 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
 fi
 
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
-    # synthesize_e2e, vocoder is pwgan by default stage 0, stage 1 will use hifigan as vocoder
+    # synthesize_e2e, vocoder is pwgan by default stage 0
+    # stage 1 will use multi band melgan as vocoder
+    # stage 3 will use hifigan as vocoder
+    # stage 4 will use wavernn as vocoder 
     CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh --stage 0 ${conf_path} ${train_output_path} ${ckpt_name} || exit -1
 fi