Improve Whisper language detection performance

src/generation/configuration_utils.js

@@ -197,6 +197,13 @@ export class GenerationConfig {
      */
     bad_words_ids = null;
 
+    /**
+     * List of token ids that are allowed to be generated.
+     * @type {number[][]}
+     * @default null
+     */
+    good_words_ids = null;
+
     /**
      * List of token ids that must be generated.
      * If given a `number[][]`, this is treated as a simple list of words that must be included, the opposite to `bad_words_ids`.

src/generation/stopping_criteria.js

@@ -154,3 +154,16 @@ export class InterruptableStoppingCriteria extends StoppingCriteria {
         return new Array(input_ids.length).fill(this.interrupted);
     }
 }
+
+/**
+ * This class can be used to always stop generation after one pass.
+ */
+export class AlwaysStopCriteria extends StoppingCriteria {
+    constructor() {
+        super();
+    }
+
+    _call(input_ids, scores) {
+        return new Array(input_ids.length).fill(true);
+    }
+}

src/models.js

@@ -90,6 +90,7 @@ import {
     TopKLogitsWarper,
     TopPLogitsWarper,
     ClassifierFreeGuidanceLogitsProcessor,
+    OnlyGoodWordsLogitsProcessor,
 } from './generation/logits_process.js';
 
 import {
@@ -112,7 +113,7 @@ import {
 import { RawImage } from './utils/image.js';
 
 import { dynamic_time_warping, max, medianFilter } from './utils/maths.js';
-import { EosTokenCriteria, MaxLengthCriteria, StoppingCriteriaList } from './generation/stopping_criteria.js';
+import { AlwaysStopCriteria, EosTokenCriteria, MaxLengthCriteria, StoppingCriteriaList } from './generation/stopping_criteria.js';
 import { LogitsSampler } from './generation/logits_sampler.js';
 import { apis } from './env.js';
 
@@ -1195,6 +1196,10 @@ export class PreTrainedModel extends Callable {
             processors.push(new NoBadWordsLogitsProcessor(generation_config.bad_words_ids, generation_config.eos_token_id));
         }
 
+        if (generation_config.good_words_ids !== null) {
+            processors.push(new OnlyGoodWordsLogitsProcessor(generation_config.good_words_ids, generation_config.eos_token_id));
+        }
+
         if (generation_config.min_length !== null && generation_config.eos_token_id !== null && generation_config.min_length > 0) {
             processors.push(new MinLengthLogitsProcessor(generation_config.min_length, generation_config.eos_token_id));
         }
@@ -3120,7 +3125,20 @@ export class WhisperForConditionalGeneration extends WhisperPreTrainedModel {
         if (!all_lang_ids || all_lang_ids.length <= 0) {
             throw new Error("Cannot detect language without language code to token ID map for model");
         }
-        const output = await this.generate({ ...options, decoder_input_ids });
+        const stopping_criteria = new StoppingCriteriaList();
+        stopping_criteria.push(new AlwaysStopCriteria());
+        const good_words_ids = [all_lang_ids];
+        const output = await this.generate({
+            ...options,
+            generation_config: {
+                ...generation_config,
+                good_words_ids,
+                num_beams: 1,
+                do_sample: false,
+            },
+            stopping_criteria,
+            decoder_input_ids,
+        });
         const sane = Array.from((/**@type {Tensor}**/(output)).data).flatMap(x => Number(x));
         const lang_ids = sane.filter(x => Object.values(generation_config.lang_to_id).includes(x));
         return lang_ids;