From 24274c58f8eb53d4753045cdeca7a9e8f075e79d Mon Sep 17 00:00:00 2001
From: Edresson Casanova <edresson1@gmail.com>
Date: Fri, 11 Mar 2022 19:55:29 -0300
Subject: [PATCH] Fix unit tests

---
 TTS/tts/utils/managers.py | 2 +-
 TTS/utils/synthesizer.py  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/TTS/tts/utils/managers.py b/TTS/tts/utils/managers.py
index 480c4c98..963226e0 100644
--- a/TTS/tts/utils/managers.py
+++ b/TTS/tts/utils/managers.py
@@ -257,7 +257,7 @@ class EmbeddingManager(BaseIDManager):
         embedding = _compute(wav_file)
         return embedding[0].tolist()
 
-    def compute_embedding(self, feats: Union[torch.Tensor, np.ndarray]) -> List:
+    def compute_embeddings(self, feats: Union[torch.Tensor, np.ndarray]) -> List:
         """Compute embedding from features.
 
         Args:
diff --git a/TTS/utils/synthesizer.py b/TTS/utils/synthesizer.py
index 54676635..c695446b 100644
--- a/TTS/utils/synthesizer.py
+++ b/TTS/utils/synthesizer.py
@@ -210,7 +210,7 @@ class Synthesizer(object):
         # handle multi-speaker
         speaker_embedding = None
         speaker_id = None
-        if self.tts_speakers_file or hasattr(self.tts_model.speaker_manager, "speaker_ids"):
+        if self.tts_speakers_file or hasattr(self.tts_model.speaker_manager, "ids"):
             if speaker_name and isinstance(speaker_name, str):
                 if self.tts_config.use_d_vector_file:
                     # get the average speaker embedding from the saved d_vectors.