Enrich card with TTS tag

README.md

@@ -17,6 +17,8 @@ source_datasets:
 - original
 task_categories:
 - automatic-speech-recognition
+- text-to-speech
+- text-to-audio
 task_ids: []
 train-eval-index:
 - config: main
@@ -98,9 +100,9 @@ The texts were published between 1884 and 1964, and are in the public domain. Th
 ### Supported Tasks and Leaderboards
 
 The dataset can be used to train a model for Automatic Speech Recognition (ASR) or Text-to-Speech (TTS).
-- `other:automatic-speech-recognition`: An ASR model is presented with an audio file and asked to transcribe the audio file to written text.
+- `automatic-speech-recognition`: An ASR model is presented with an audio file and asked to transcribe the audio file to written text.
 The most common ASR evaluation metric is the word error rate (WER).
-- `other:text-to-speech`: A TTS model is given a written text in natural language and asked to generate a speech audio file.
+- `text-to-speech`, `text-to-audio`: A TTS model is given a written text in natural language and asked to generate a speech audio file.
 A reasonable evaluation metric is the mean opinion score (MOS) of audio quality.
 The dataset has an active leaderboard which can be found at https://paperswithcode.com/sota/text-to-speech-synthesis-on-ljspeech