Updated README and build script with speech rates and utts lenghts

README.md

@@ -119,8 +119,13 @@ Available fields:
 * `audio_duration_seconds` - duration of recordings in seconds
 * `audiopath_bigos` - relative filepath to audio file extracted from tar.gz archive
 * `audiopath_local` - absolute filepath to audio file extracted with the build script
-* `speaker_sex` - sex of the speaker extracted from the source meta-data (N/A if not available)
+* `speaker_gender` - gender (sex) of the speaker extracted from the source meta-data (N/A if not available)
 * `speaker_age` - age group of the speaker (in CommonVoice format) extracted from the source (N/A if not available)
+* `utt_length_words` - length of the utterance in words
+* `utt_length_chars` - length of the utterance in characters
+* `speech_rate_words` - speech rate - average number of words per second
+* `speech_rate_chars` - speech rage - average number of characters per second
+
 <br><br>
 
 ### Data Splits

pl-asr-bigos-v2.py

@@ -112,7 +112,11 @@ class Bigos(datasets.GeneratorBasedBuilder):
  "audiopath_bigos": datasets.Value("string"),
  "audiopath_local": datasets.Value("string"),
  "speaker_age": datasets.Value("string"),
- "speaker_sex": datasets.Value("string")
+ "speaker_gender": datasets.Value("string"),
+ "utt_length_words": datasets.Value("int32"),
+ "utt_length_chars": datasets.Value("int32"),
+ "speech_rate_words": datasets.Value("float32"),
+ "speech_rate_chars": datasets.Value("float32")
  }
  )
 
@@ -183,7 +187,7 @@ class Bigos(datasets.GeneratorBasedBuilder):
  sampling_rate,
  ref_orig,
  audio_path_bigos,
- sex,
+ gender,
  age
 
  ) = line.strip().split("\t")
@@ -199,7 +203,7 @@ class Bigos(datasets.GeneratorBasedBuilder):
  "ref_orig": str.strip(ref_orig),
  "audiopath_bigos": str.strip(audio_path_bigos),
  "speaker_age": str.strip(age),
- "speaker_sex": str.strip(sex)
+ "speaker_gender": str.strip(gender)
  }
 
  return data
@@ -228,7 +232,6 @@ class Bigos(datasets.GeneratorBasedBuilder):
  
  #print("audio_filename: ", audio_filename)
  result = data[audio_filename]
- #print("result: ", result)
  extracted_audio_path = (
  os.path.join(local_extracted_path, audio_filename)
  if local_extracted_path is not None
@@ -240,5 +243,17 @@ class Bigos(datasets.GeneratorBasedBuilder):
  # dividing the byte length by 2 because the audio is 16-bit PCM. Removing the header
  result["audio_duration_samples"] = len(result["audio"]["bytes"]) // 2 - 22 
  result["audio_duration_seconds"] = round(int(result["audio_duration_samples"]) / int(result["sampling_rate"]), 2)
+
+ if result["ref_orig"] == "":
+ result["utt_length_words"] = None
+ result["utt_length_chars"] = None
+ result["speech_rate_words"] = None
+ result["speech_rate_chars"] = None
+ else:
+ result["utt_length_words"] = len(result["ref_orig"].split())
+ result["utt_length_chars"] = len(result["ref_orig"])
+ result["speech_rate_words"] = round(result["utt_length_words"] / result["audio_duration_seconds"], 2)
+ result["speech_rate_chars"] = round(result["utt_length_chars"] / result["audio_duration_seconds"], 2)
+
  yield key, result
  key += 1

test.py

@@ -26,7 +26,6 @@ print(dataset_local["test"][0])
 print(dataset_local["validation"][0])
 print(dataset_local["train"][0])
 df_test = pd.DataFrame(dataset_local['test'])
-print(df_test['speaker_sex'].unique())
 
 print("Checking build script on huggingface.co")
 dataset_hf = load_dataset(hf_db_name, "all", download_mode="force_redownload")