Capability
Word Level Timestamp Generation With Millisecond Precision
2 artifacts provide this capability.
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1
Whisper Large v3Model46/100
via “word-level timestamp generation with millisecond precision”
OpenAI's best speech recognition model for 100+ languages.
Unique: Word-level timestamps are derived from attention weight alignment rather than separate timestamp prediction head — leverages existing decoder computation without additional model parameters, but introduces ±100-200ms uncertainty from frame quantization
vs others: More granular than segment-level timestamps (which only mark 30-second boundaries); less accurate than forced alignment tools (e.g., Montreal Forced Aligner) but requires no phonetic lexicon or manual annotation