Question 1
Which of the following factors can adversely impact the accuracy of speech language identification?
Background noise
Very short utterances
Code-switching
Large balanced training data
Which of the following factors can adversely impact the accuracy of speech language identification?
Background noise
Very short utterances
Code-switching
Large balanced training data
You are building an end-to-end speaker-attributed transcription pipeline using the Whisper model for speech recognition and timestamp generation, the ECAPA-TDNN model for speaker embedding extraction, and the SpeechBrain toolkit to integrate the diarization pipeline.
Which of the following subtasks are necessary to achieve this? (Select all that apply)
Voice Activity Detection (VAD) / Segmentation
Speech Recognition and Timestamp Generation
Speaker Embedding Extraction
Language Identification
Speaker Clustering
Text-to-Speech (TTS) Synthesis
Alignment and Segment Merging
When feeding audio into the pretrained speechbrain/spkrec-ecapa-voxceleb model, which of the following statements regarding the expected input is (are) true? (Select all that apply)
The system is trained on single-channel (mono) recordings.
The user must manually extract acoustic features (like MFCCs or Mel- filterbanks) before passing the data to the model.
The expected sampling rate for the input audio is 16kHz.
The model accepts variable-length audio inputs, dynamically generating fixed- size embeddings regardless of the utterance duration.
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The IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 2 paper sat on 16 Aug 2026, in the May 2026 term: 19 questions for 48 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Deep Learning Practice Quiz 2 16 Aug 2026 at a glance |
|---|---|
| Term | May 2026 term |
| Subject | Deep Learning Practice |
| Course code | BSDA5013 |
| Questions | 19 |
| Marks | 48 |
| Duration | 120 min |
| MSQ | 5 |
| Numerical | 5 |
| MCQ | 9 |
| Official paper | Deep Learning Practice 16 Aug 26 |
| Negative marking | No negative marking. |
| Updated |