add melo tts

model.py

@@ -236,6 +236,8 @@ def _get_vits_hf(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
 
  if "fanchen" in repo_id or "vits-cantonese-hf-xiaomaiiwn" in repo_id:
  model = repo_id.split("/")[-1]
+ elif "csukuangfj/vits-melo-tts-zh_en" == repo_id:
+ model = "model"
  else:
  model = repo_id.split("-")[-1]
 
@@ -269,7 +271,7 @@ def _get_vits_hf(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
  rule_fars = ""
 
  if "vits-cantonese-hf-xiaomaiiwn" not in repo_id:
- rule_fsts = ["phone.fst", "date.fst", "number.fst", "new_heteronym.fst"]
+ rule_fsts = ["phone.fst", "date.fst", "number.fst"]
 
  rule_fsts = [
  get_file(
@@ -320,6 +322,8 @@ def _get_vits_hf(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
 def get_pretrained_model(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
  if repo_id in chinese_models:
  return chinese_models[repo_id](repo_id, speed)
+ elif repo_id in chinese_english_models:
+ return chinese_english_models[repo_id](repo_id, speed)
  if repo_id in cantonese_models:
  return cantonese_models[repo_id](repo_id, speed)
  elif repo_id in english_models:
@@ -424,6 +428,10 @@ cantonese_models = {
  "csukuangfj/vits-cantonese-hf-xiaomaiiwn": _get_vits_hf,
 }
 
+chinese_english_models = {
+ "csukuangfj/vits-melo-tts-zh_en|1": _get_vits_hf, # 1
+}
+
 chinese_models = {
  "csukuangfj/vits-zh-hf-fanchen-wnj|1": _get_vits_hf, # 1
  "csukuangfj/vits-zh-hf-fanchen-C|187": _get_vits_hf, # 187
@@ -766,6 +774,7 @@ welsh_models = {
 language_to_models = {
  "English": list(english_models.keys()),
  "Chinese (Mandarin, 普通话)": list(chinese_models.keys()),
+ "Chinese+English": list(chinese_english_models.keys()),
  "Cantonese (粤语)": list(cantonese_models.keys()),
  "Min-nan (闽南话)": list(min_nan_models.keys()),
  "Arabic": list(arabic_models.keys()),

requirements.txt

@@ -1,4 +1,4 @@
-https://huggingface.co/csukuangfj/sherpa-onnx-wheels/resolve/main/sherpa_onnx-1.9.23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
-#sherpa-onnx
+#https://huggingface.co/csukuangfj/sherpa-onnx-wheels/resolve/main/sherpa_onnx-1.9.23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+sherpa-onnx>=1.10.16
 
 soundfile